hexsha string | size int64 | ext string | lang string | max_stars_repo_path string | max_stars_repo_name string | max_stars_repo_head_hexsha string | max_stars_repo_licenses list | max_stars_count int64 | max_stars_repo_stars_event_min_datetime string | max_stars_repo_stars_event_max_datetime string | max_issues_repo_path string | max_issues_repo_name string | max_issues_repo_head_hexsha string | max_issues_repo_licenses list | max_issues_count int64 | max_issues_repo_issues_event_min_datetime string | max_issues_repo_issues_event_max_datetime string | max_forks_repo_path string | max_forks_repo_name string | max_forks_repo_head_hexsha string | max_forks_repo_licenses list | max_forks_count int64 | max_forks_repo_forks_event_min_datetime string | max_forks_repo_forks_event_max_datetime string | content string | avg_line_length float64 | max_line_length int64 | alphanum_fraction float64 | qsc_code_num_words_quality_signal int64 | qsc_code_num_chars_quality_signal float64 | qsc_code_mean_word_length_quality_signal float64 | qsc_code_frac_words_unique_quality_signal float64 | qsc_code_frac_chars_top_2grams_quality_signal float64 | qsc_code_frac_chars_top_3grams_quality_signal float64 | qsc_code_frac_chars_top_4grams_quality_signal float64 | qsc_code_frac_chars_dupe_5grams_quality_signal float64 | qsc_code_frac_chars_dupe_6grams_quality_signal float64 | qsc_code_frac_chars_dupe_7grams_quality_signal float64 | qsc_code_frac_chars_dupe_8grams_quality_signal float64 | qsc_code_frac_chars_dupe_9grams_quality_signal float64 | qsc_code_frac_chars_dupe_10grams_quality_signal float64 | qsc_code_frac_chars_replacement_symbols_quality_signal float64 | qsc_code_frac_chars_digital_quality_signal float64 | qsc_code_frac_chars_whitespace_quality_signal float64 | qsc_code_size_file_byte_quality_signal float64 | qsc_code_num_lines_quality_signal float64 | qsc_code_num_chars_line_max_quality_signal float64 | qsc_code_num_chars_line_mean_quality_signal float64 | qsc_code_frac_chars_alphabet_quality_signal float64 | qsc_code_frac_chars_comments_quality_signal float64 | qsc_code_cate_xml_start_quality_signal float64 | qsc_code_frac_lines_dupe_lines_quality_signal float64 | qsc_code_cate_autogen_quality_signal float64 | qsc_code_frac_lines_long_string_quality_signal float64 | qsc_code_frac_chars_string_length_quality_signal float64 | qsc_code_frac_chars_long_word_length_quality_signal float64 | qsc_code_frac_lines_string_concat_quality_signal float64 | qsc_code_cate_encoded_data_quality_signal float64 | qsc_code_frac_chars_hex_words_quality_signal float64 | qsc_code_frac_lines_prompt_comments_quality_signal float64 | qsc_code_frac_lines_assert_quality_signal float64 | qsc_codepython_cate_ast_quality_signal float64 | qsc_codepython_frac_lines_func_ratio_quality_signal float64 | qsc_codepython_cate_var_zero_quality_signal bool | qsc_codepython_frac_lines_pass_quality_signal float64 | qsc_codepython_frac_lines_import_quality_signal float64 | qsc_codepython_frac_lines_simplefunc_quality_signal float64 | qsc_codepython_score_lines_no_logic_quality_signal float64 | qsc_codepython_frac_lines_print_quality_signal float64 | qsc_code_num_words int64 | qsc_code_num_chars int64 | qsc_code_mean_word_length int64 | qsc_code_frac_words_unique null | qsc_code_frac_chars_top_2grams int64 | qsc_code_frac_chars_top_3grams int64 | qsc_code_frac_chars_top_4grams int64 | qsc_code_frac_chars_dupe_5grams int64 | qsc_code_frac_chars_dupe_6grams int64 | qsc_code_frac_chars_dupe_7grams int64 | qsc_code_frac_chars_dupe_8grams int64 | qsc_code_frac_chars_dupe_9grams int64 | qsc_code_frac_chars_dupe_10grams int64 | qsc_code_frac_chars_replacement_symbols int64 | qsc_code_frac_chars_digital int64 | qsc_code_frac_chars_whitespace int64 | qsc_code_size_file_byte int64 | qsc_code_num_lines int64 | qsc_code_num_chars_line_max int64 | qsc_code_num_chars_line_mean int64 | qsc_code_frac_chars_alphabet int64 | qsc_code_frac_chars_comments int64 | qsc_code_cate_xml_start int64 | qsc_code_frac_lines_dupe_lines int64 | qsc_code_cate_autogen int64 | qsc_code_frac_lines_long_string int64 | qsc_code_frac_chars_string_length int64 | qsc_code_frac_chars_long_word_length int64 | qsc_code_frac_lines_string_concat null | qsc_code_cate_encoded_data int64 | qsc_code_frac_chars_hex_words int64 | qsc_code_frac_lines_prompt_comments int64 | qsc_code_frac_lines_assert int64 | qsc_codepython_cate_ast int64 | qsc_codepython_frac_lines_func_ratio int64 | qsc_codepython_cate_var_zero int64 | qsc_codepython_frac_lines_pass int64 | qsc_codepython_frac_lines_import int64 | qsc_codepython_frac_lines_simplefunc int64 | qsc_codepython_score_lines_no_logic int64 | qsc_codepython_frac_lines_print int64 | effective string | hits int64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
676832c52b0ee4248df674e2cbc94f0eecca54c0 | 374 | py | Python | crudbuilder/tests/handlers.py | nkmrohit/python | bd644d51909cda548684b5da98eab998564f3568 | [
"Apache-2.0"
] | 186 | 2015-10-28T12:32:31.000Z | 2022-03-24T18:39:15.000Z | crudbuilder/tests/handlers.py | nkmrohit/python | bd644d51909cda548684b5da98eab998564f3568 | [
"Apache-2.0"
] | 72 | 2016-01-28T09:25:50.000Z | 2021-11-24T03:58:59.000Z | crudbuilder/tests/handlers.py | nkmrohit/python | bd644d51909cda548684b5da98eab998564f3568 | [
"Apache-2.0"
] | 73 | 2015-11-08T21:46:06.000Z | 2022-03-24T10:11:50.000Z | from django.dispatch import receiver
from crudbuilder.signals import post_create_signal, post_update_signal
from crudbuilder.tests.models import TestModel
@receiver(post_create_signal, sender=TestModel)
def post_create_signal_handler(sender, **kwargs):
pass
@receiver(post_update_signal, sender=TestModel)
def post_update_signal_handler(sender, **kwargs):
pass
| 24.933333 | 70 | 0.826203 | 49 | 374 | 6.020408 | 0.387755 | 0.101695 | 0.162712 | 0.162712 | 0.386441 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.101604 | 374 | 14 | 71 | 26.714286 | 0.877976 | 0 | 0 | 0.222222 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.222222 | false | 0.222222 | 0.333333 | 0 | 0.555556 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 5 |
677909a4ad8dd76f4ab215c2c1e7dcc8be5fb21f | 45 | py | Python | day2/3. Assignment/_solutions/lab2-q11.py | gcc-a132/BigData | 694a9c4d3478d812c4a73e3931d442320a0bc590 | [
"MIT"
] | null | null | null | day2/3. Assignment/_solutions/lab2-q11.py | gcc-a132/BigData | 694a9c4d3478d812c4a73e3931d442320a0bc590 | [
"MIT"
] | null | null | null | day2/3. Assignment/_solutions/lab2-q11.py | gcc-a132/BigData | 694a9c4d3478d812c4a73e3931d442320a0bc590 | [
"MIT"
] | 4 | 2018-06-06T16:09:16.000Z | 2018-06-28T09:28:21.000Z | df[(df['animal'] == 'cat') & (df['age'] < 3)] | 45 | 45 | 0.422222 | 7 | 45 | 2.714286 | 0.714286 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.025641 | 0.133333 | 45 | 1 | 45 | 45 | 0.461538 | 0 | 0 | 0 | 0 | 0 | 0.26087 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 |
678487fd47997141a4a545200d88614105751708 | 31,922 | py | Python | ietf/ydk/models/ietf/test/import_tests.py | Maikor/ydk-py | b86c4a7c570ae3b2c5557d098420446df5de4929 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | ietf/ydk/models/ietf/test/import_tests.py | Maikor/ydk-py | b86c4a7c570ae3b2c5557d098420446df5de4929 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | ietf/ydk/models/ietf/test/import_tests.py | Maikor/ydk-py | b86c4a7c570ae3b2c5557d098420446df5de4929 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null |
import unittest
class ImportTest(unittest.TestCase):
def test_iana_crypt_hash(self):
pass
def test_iana_if_type(self):
from ydk.models.ietf.iana_if_type import VoiceFXO
from ydk.models.ietf.iana_if_type import AtmVciEndPt
from ydk.models.ietf.iana_if_type import PropBWAp2Mp
from ydk.models.ietf.iana_if_type import PropDocsWirelessDownstream
from ydk.models.ietf.iana_if_type import V11
from ydk.models.ietf.iana_if_type import SoftwareLoopback
from ydk.models.ietf.iana_if_type import Hdlc
from ydk.models.ietf.iana_if_type import VoiceFGDOS
from ydk.models.ietf.iana_if_type import FastEtherFX
from ydk.models.ietf.iana_if_type import DvbTdm
from ydk.models.ietf.iana_if_type import Nfas
from ydk.models.ietf.iana_if_type import IfPwType
from ydk.models.ietf.iana_if_type import L2vlan
from ydk.models.ietf.iana_if_type import Adsl2plus
from ydk.models.ietf.iana_if_type import Ieee802154
from ydk.models.ietf.iana_if_type import VoiceFXS
from ydk.models.ietf.iana_if_type import DvbRcsMacLayer
from ydk.models.ietf.iana_if_type import Idsl
from ydk.models.ietf.iana_if_type import Infiniband
from ydk.models.ietf.iana_if_type import DdnX25
from ydk.models.ietf.iana_if_type import WwanPP2
from ydk.models.ietf.iana_if_type import DocsCableUpstream
from ydk.models.ietf.iana_if_type import Ethernet3Mbit
from ydk.models.ietf.iana_if_type import DigitalPowerline
from ydk.models.ietf.iana_if_type import H323Proxy
from ydk.models.ietf.iana_if_type import Gtp
from ydk.models.ietf.iana_if_type import IpOverAtm
from ydk.models.ietf.iana_if_type import AluEpon
from ydk.models.ietf.iana_if_type import Imt
from ydk.models.ietf.iana_if_type import IpSwitch
from ydk.models.ietf.iana_if_type import Msdsl
from ydk.models.ietf.iana_if_type import DvbRccMacLayer
from ydk.models.ietf.iana_if_type import SmdsDxi
from ydk.models.ietf.iana_if_type import VoiceOverAtm
from ydk.models.ietf.iana_if_type import Arap
from ydk.models.ietf.iana_if_type import FastEther
from ydk.models.ietf.iana_if_type import Mpc
from ydk.models.ietf.iana_if_type import Linegroup
from ydk.models.ietf.iana_if_type import Hippi
from ydk.models.ietf.iana_if_type import Rpr
from ydk.models.ietf.iana_if_type import Ds1FDL
from ydk.models.ietf.iana_if_type import SonetVT
from ydk.models.ietf.iana_if_type import VoiceEncap
from ydk.models.ietf.iana_if_type import Ss7SigLink
from ydk.models.ietf.iana_if_type import Arcnet
from ydk.models.ietf.iana_if_type import ActelisMetaLOOP
from ydk.models.ietf.iana_if_type import Qllc
from ydk.models.ietf.iana_if_type import Rfc877x25
from ydk.models.ietf.iana_if_type import MpegTransport
from ydk.models.ietf.iana_if_type import X25mlp
from ydk.models.ietf.iana_if_type import VirtualTg
from ydk.models.ietf.iana_if_type import HostPad
from ydk.models.ietf.iana_if_type import StarLan
from ydk.models.ietf.iana_if_type import Iso88025Dtr
from ydk.models.ietf.iana_if_type import Ibm370parChan
from ydk.models.ietf.iana_if_type import Adsl2
from ydk.models.ietf.iana_if_type import OtnOtu
from ydk.models.ietf.iana_if_type import PropWirelessP2P
from ydk.models.ietf.iana_if_type import Interleave
from ydk.models.ietf.iana_if_type import Isup
from ydk.models.ietf.iana_if_type import Regular1822
from ydk.models.ietf.iana_if_type import Gr303RDT
from ydk.models.ietf.iana_if_type import PropDocsWirelessMaclayer
from ydk.models.ietf.iana_if_type import Async
from ydk.models.ietf.iana_if_type import RadioMAC
from ydk.models.ietf.iana_if_type import OpticalChannelGroup
from ydk.models.ietf.iana_if_type import SixToFour
from ydk.models.ietf.iana_if_type import PropDocsWirelessUpstream
from ydk.models.ietf.iana_if_type import Q2931
from ydk.models.ietf.iana_if_type import Fddi
from ydk.models.ietf.iana_if_type import PropCnls
from ydk.models.ietf.iana_if_type import Aal2
from ydk.models.ietf.iana_if_type import DvbAsiOut
from ydk.models.ietf.iana_if_type import AluELP
from ydk.models.ietf.iana_if_type import CiscoISLvlan
from ydk.models.ietf.iana_if_type import DocsCableUpstreamRfPort
from ydk.models.ietf.iana_if_type import Aal5
from ydk.models.ietf.iana_if_type import FrDlciEndPt
from ydk.models.ietf.iana_if_type import HippiInterface
from ydk.models.ietf.iana_if_type import L3ipvlan
from ydk.models.ietf.iana_if_type import Miox25
from ydk.models.ietf.iana_if_type import Hssi
from ydk.models.ietf.iana_if_type import AtmVirtual
from ydk.models.ietf.iana_if_type import AluGponOnu
from ydk.models.ietf.iana_if_type import Rfc1483
from ydk.models.ietf.iana_if_type import Cnr
from ydk.models.ietf.iana_if_type import SipSig
from ydk.models.ietf.iana_if_type import Myrinet
from ydk.models.ietf.iana_if_type import Dlsw
from ydk.models.ietf.iana_if_type import GigabitEthernet
from ydk.models.ietf.iana_if_type import X25ple
from ydk.models.ietf.iana_if_type import Lmp
from ydk.models.ietf.iana_if_type import OpticalTransport
from ydk.models.ietf.iana_if_type import Sdlc
from ydk.models.ietf.iana_if_type import VoiceEM
from ydk.models.ietf.iana_if_type import X86Laps
from ydk.models.ietf.iana_if_type import G9982
from ydk.models.ietf.iana_if_type import Iso88022llc
from ydk.models.ietf.iana_if_type import DvbAsiIn
from ydk.models.ietf.iana_if_type import Bgppolicyaccounting
from ydk.models.ietf.iana_if_type import AluEponOnu
from ydk.models.ietf.iana_if_type import MfSigLink
from ydk.models.ietf.iana_if_type import Dcn
from ydk.models.ietf.iana_if_type import AtmDxi
from ydk.models.ietf.iana_if_type import VoiceOverFrameRelay
from ydk.models.ietf.iana_if_type import Gfp
from ydk.models.ietf.iana_if_type import SonetOverheadChannel
from ydk.models.ietf.iana_if_type import VmwareVirtualNic
from ydk.models.ietf.iana_if_type import FcipLink
from ydk.models.ietf.iana_if_type import IpOverClaw
from ydk.models.ietf.iana_if_type import Coffee
from ydk.models.ietf.iana_if_type import Radsl
from ydk.models.ietf.iana_if_type import Vdsl2
from ydk.models.ietf.iana_if_type import Rs232
from ydk.models.ietf.iana_if_type import E1
from ydk.models.ietf.iana_if_type import ReachDSL
from ydk.models.ietf.iana_if_type import VoiceOverCable
from ydk.models.ietf.iana_if_type import Tr008
from ydk.models.ietf.iana_if_type import VoiceOverIp
from ydk.models.ietf.iana_if_type import Atm
from ydk.models.ietf.iana_if_type import Ds3
from ydk.models.ietf.iana_if_type import Ds0
from ydk.models.ietf.iana_if_type import Ds1
from ydk.models.ietf.iana_if_type import Srp
from ydk.models.ietf.iana_if_type import DocsCableDownstream
from ydk.models.ietf.iana_if_type import DvbRcsTdma
from ydk.models.ietf.iana_if_type import G9983
from ydk.models.ietf.iana_if_type import Plc
from ydk.models.ietf.iana_if_type import FrameRelayMPI
from ydk.models.ietf.iana_if_type import Mvl
from ydk.models.ietf.iana_if_type import PropMultiplexor
from ydk.models.ietf.iana_if_type import VoiceDID
from ydk.models.ietf.iana_if_type import CompositeLink
from ydk.models.ietf.iana_if_type import Proteon10Mbit
from ydk.models.ietf.iana_if_type import Atmbond
from ydk.models.ietf.iana_if_type import Frf16MfrBundle
from ydk.models.ietf.iana_if_type import CctEmul
from ydk.models.ietf.iana_if_type import MplsTunnel
from ydk.models.ietf.iana_if_type import Gpon
from ydk.models.ietf.iana_if_type import Vdsl
from ydk.models.ietf.iana_if_type import Pos
from ydk.models.ietf.iana_if_type import Ieee8023adLag
from ydk.models.ietf.iana_if_type import DocsCableMaclayer
from ydk.models.ietf.iana_if_type import DocsCableMCmtsDownstream
from ydk.models.ietf.iana_if_type import Ppp
from ydk.models.ietf.iana_if_type import FrameRelay
from ydk.models.ietf.iana_if_type import Eplrs
from ydk.models.ietf.iana_if_type import VmwareNicTeam
from ydk.models.ietf.iana_if_type import CableDownstreamRfPort
from ydk.models.ietf.iana_if_type import MacSecUncontrolledIF
from ydk.models.ietf.iana_if_type import Iso88023Csmacd
from ydk.models.ietf.iana_if_type import Usb
from ydk.models.ietf.iana_if_type import AtmFuni
from ydk.models.ietf.iana_if_type import TeLink
from ydk.models.ietf.iana_if_type import Pon622
from ydk.models.ietf.iana_if_type import Econet
from ydk.models.ietf.iana_if_type import Tdlc
from ydk.models.ietf.iana_if_type import Ds0Bundle
from ydk.models.ietf.iana_if_type import Fast
from ydk.models.ietf.iana_if_type import Ieee1394
from ydk.models.ietf.iana_if_type import CblVectaStar
from ydk.models.ietf.iana_if_type import Rsrb
from ydk.models.ietf.iana_if_type import FrameRelayInterconnect
from ydk.models.ietf.iana_if_type import Isdns
from ydk.models.ietf.iana_if_type import PppMultilinkBundle
from ydk.models.ietf.iana_if_type import Aflane8025
from ydk.models.ietf.iana_if_type import Lapb
from ydk.models.ietf.iana_if_type import Aflane8023
from ydk.models.ietf.iana_if_type import Lapd
from ydk.models.ietf.iana_if_type import Isdnu
from ydk.models.ietf.iana_if_type import Lapf
from ydk.models.ietf.iana_if_type import CapwapWtpVirtualRadio
from ydk.models.ietf.iana_if_type import IfVfiType
from ydk.models.ietf.iana_if_type import X25huntGroup
from ydk.models.ietf.iana_if_type import Para
from ydk.models.ietf.iana_if_type import MacSecControlledIF
from ydk.models.ietf.iana_if_type import Iso88024TokenBus
from ydk.models.ietf.iana_if_type import LocalTalk
from ydk.models.ietf.iana_if_type import Hyperchannel
from ydk.models.ietf.iana_if_type import MediaMailOverIp
from ydk.models.ietf.iana_if_type import IfGsn
from ydk.models.ietf.iana_if_type import CapwapDot11Profile
from ydk.models.ietf.iana_if_type import L3ipxvlan
from ydk.models.ietf.iana_if_type import AtmSubInterface
from ydk.models.ietf.iana_if_type import PrimaryISDN
from ydk.models.ietf.iana_if_type import Proteon80Mbit
from ydk.models.ietf.iana_if_type import Iso88026Man
from ydk.models.ietf.iana_if_type import DigitalWrapperOverheadChannel
from ydk.models.ietf.iana_if_type import DocsCableUpstreamChannel
from ydk.models.ietf.iana_if_type import OpticalChannel
from ydk.models.ietf.iana_if_type import EthernetCsmacd
from ydk.models.ietf.iana_if_type import Bits
from ydk.models.ietf.iana_if_type import Tunnel
from ydk.models.ietf.iana_if_type import Hdsl2
from ydk.models.ietf.iana_if_type import FrameRelayService
from ydk.models.ietf.iana_if_type import Mpls
from ydk.models.ietf.iana_if_type import Ieee80211
from ydk.models.ietf.iana_if_type import Ieee80212
from ydk.models.ietf.iana_if_type import MocaVersion1
from ydk.models.ietf.iana_if_type import Sonet
from ydk.models.ietf.iana_if_type import Escon
from ydk.models.ietf.iana_if_type import AluEponLogicalLink
from ydk.models.ietf.iana_if_type import G703at2mb
from ydk.models.ietf.iana_if_type import Ultra
from ydk.models.ietf.iana_if_type import DvbRccDownstream
from ydk.models.ietf.iana_if_type import SipTg
from ydk.models.ietf.iana_if_type import SmdsIcip
from ydk.models.ietf.iana_if_type import Bridge
from ydk.models.ietf.iana_if_type import AtmLogical
from ydk.models.ietf.iana_if_type import PropPointToPointSerial
from ydk.models.ietf.iana_if_type import V35
from ydk.models.ietf.iana_if_type import V36
from ydk.models.ietf.iana_if_type import V37
from ydk.models.ietf.iana_if_type import Ip
from ydk.models.ietf.iana_if_type import Gr303IDT
from ydk.models.ietf.iana_if_type import BasicISDN
from ydk.models.ietf.iana_if_type import G703at64k
from ydk.models.ietf.iana_if_type import ArcnetPlus
from ydk.models.ietf.iana_if_type import Pip
from ydk.models.ietf.iana_if_type import Dtm
from ydk.models.ietf.iana_if_type import Slip
from ydk.models.ietf.iana_if_type import Hiperlan2
from ydk.models.ietf.iana_if_type import Adsl
from ydk.models.ietf.iana_if_type import Ieee80216WMAN
from ydk.models.ietf.iana_if_type import AtmIma
from ydk.models.ietf.iana_if_type import Isdn
from ydk.models.ietf.iana_if_type import CapwapDot11Bss
from ydk.models.ietf.iana_if_type import Sip
from ydk.models.ietf.iana_if_type import PdnEtherLoop2
from ydk.models.ietf.iana_if_type import VoiceEBS
from ydk.models.ietf.iana_if_type import IpForward
from ydk.models.ietf.iana_if_type import Iso88025CRFPInt
from ydk.models.ietf.iana_if_type import PropVirtual
from ydk.models.ietf.iana_if_type import WwanPP
from ydk.models.ietf.iana_if_type import Other
from ydk.models.ietf.iana_if_type import Pon155
from ydk.models.ietf.iana_if_type import IanaInterfaceType
from ydk.models.ietf.iana_if_type import Qam
from ydk.models.ietf.iana_if_type import OtnOdu
from ydk.models.ietf.iana_if_type import Iso88025Fiber
from ydk.models.ietf.iana_if_type import Channel
from ydk.models.ietf.iana_if_type import VoiceEMFGD
from ydk.models.ietf.iana_if_type import AluGponPhysicalUni
from ydk.models.ietf.iana_if_type import A12MppSwitch
from ydk.models.ietf.iana_if_type import Ilan
from ydk.models.ietf.iana_if_type import PdnEtherLoop1
from ydk.models.ietf.iana_if_type import X213
from ydk.models.ietf.iana_if_type import SonetPath
from ydk.models.ietf.iana_if_type import VoiceFGDEANA
from ydk.models.ietf.iana_if_type import Iso88025TokenRing
from ydk.models.ietf.iana_if_type import PropAtm
from ydk.models.ietf.iana_if_type import AluEponPhysicalUni
from ydk.models.ietf.iana_if_type import StackToStack
from ydk.models.ietf.iana_if_type import FrForward
from ydk.models.ietf.iana_if_type import Homepna
from ydk.models.ietf.iana_if_type import Sdsl
from ydk.models.ietf.iana_if_type import VirtualIpAddress
from ydk.models.ietf.iana_if_type import Bsc
from ydk.models.ietf.iana_if_type import AtmRadio
from ydk.models.ietf.iana_if_type import AviciOpticalEther
from ydk.models.ietf.iana_if_type import G9981
from ydk.models.ietf.iana_if_type import FibreChannel
from ydk.models.ietf.iana_if_type import Shdsl
from ydk.models.ietf.iana_if_type import Eon
from ydk.models.ietf.iana_if_type import H323Gatekeeper
from ydk.models.ietf.iana_if_type import Hdh1822
from ydk.models.ietf.iana_if_type import DvbRccUpstream
from ydk.models.ietf.iana_if_type import Nsip
from ydk.models.ietf.iana_if_type import TranspHdlc
from ydk.models.ietf.iana_if_type import TermPad
from ydk.models.ietf.iana_if_type import IpOverCdlc
from ydk.models.ietf.iana_if_type import Ces
from ydk.models.ietf.iana_if_type import Modem
def test_ietf_diffserv_action(self):
from ydk.models.ietf.ietf_diffserv_action import Marking
from ydk.models.ietf.ietf_diffserv_action import AlwaysDrop
from ydk.models.ietf.ietf_diffserv_action import TailDrop
from ydk.models.ietf.ietf_diffserv_action import DropType
from ydk.models.ietf.ietf_diffserv_action import MeterActionDrop
from ydk.models.ietf.ietf_diffserv_action import MinRate
from ydk.models.ietf.ietf_diffserv_action import Meter
from ydk.models.ietf.ietf_diffserv_action import Priority
from ydk.models.ietf.ietf_diffserv_action import MaxRate
from ydk.models.ietf.ietf_diffserv_action import MeterActionType
from ydk.models.ietf.ietf_diffserv_action import MeterActionSet
from ydk.models.ietf.ietf_diffserv_action import RandomDetect
from ydk.models.ietf.ietf_diffserv_action import AlgorithmicDrop
def test_ietf_diffserv_classifier(self):
from ydk.models.ietf.ietf_diffserv_classifier import DestinationPort
from ydk.models.ietf.ietf_diffserv_classifier import Protocol
from ydk.models.ietf.ietf_diffserv_classifier import DestinationIpAddress
from ydk.models.ietf.ietf_diffserv_classifier import Dscp
from ydk.models.ietf.ietf_diffserv_classifier import MatchAllFilter
from ydk.models.ietf.ietf_diffserv_classifier import SourceIpAddress
from ydk.models.ietf.ietf_diffserv_classifier import MatchAnyFilter
from ydk.models.ietf.ietf_diffserv_classifier import SourcePort
from ydk.models.ietf.ietf_diffserv_classifier import FilterType
from ydk.models.ietf.ietf_diffserv_classifier import ClassifierEntryFilterOperationType
from ydk.models.ietf.ietf_diffserv_classifier import Classifiers
def test_ietf_diffserv_policy(self):
from ydk.models.ietf.ietf_diffserv_policy import ActionType
from ydk.models.ietf.ietf_diffserv_policy import Policies
def test_ietf_diffserv_target(self):
from ydk.models.ietf.ietf_diffserv_target import Inbound
from ydk.models.ietf.ietf_diffserv_target import Direction
from ydk.models.ietf.ietf_diffserv_target import Outbound
def test_ietf_event_notifications(self):
from ydk.models.ietf.ietf_event_notifications import ErrorNoSuchOption
from ydk.models.ietf.ietf_event_notifications import Stream
from ydk.models.ietf.ietf_event_notifications import ErrorNoSuchSubscription
from ydk.models.ietf.ietf_event_notifications import NoResources
from ydk.models.ietf.ietf_event_notifications import Inactive
from ydk.models.ietf.ietf_event_notifications import Suspended
from ydk.models.ietf.ietf_event_notifications import Encodings
from ydk.models.ietf.ietf_event_notifications import EncodeJson
from ydk.models.ietf.ietf_event_notifications import Transport
from ydk.models.ietf.ietf_event_notifications import InternalError
from ydk.models.ietf.ietf_event_notifications import ErrorOther
from ydk.models.ietf.ietf_event_notifications import Other
from ydk.models.ietf.ietf_event_notifications import InError
from ydk.models.ietf.ietf_event_notifications import ErrorInsufficientResources
from ydk.models.ietf.ietf_event_notifications import Netconf
from ydk.models.ietf.ietf_event_notifications import ErrorConfiguredSubscription
from ydk.models.ietf.ietf_event_notifications import SubscriptionResult
from ydk.models.ietf.ietf_event_notifications import Error
from ydk.models.ietf.ietf_event_notifications import Active
from ydk.models.ietf.ietf_event_notifications import NETCONF
from ydk.models.ietf.ietf_event_notifications import Ok
from ydk.models.ietf.ietf_event_notifications import SubscriptionStreamStatus
from ydk.models.ietf.ietf_event_notifications import EncodeXml
from ydk.models.ietf.ietf_event_notifications import SubscriptionDeleted
from ydk.models.ietf.ietf_event_notifications import SubscriptionErrors
from ydk.models.ietf.ietf_event_notifications import PushSource
from ydk.models.ietf.ietf_event_notifications import EstablishSubscription
from ydk.models.ietf.ietf_event_notifications import CreateSubscription
from ydk.models.ietf.ietf_event_notifications import ModifySubscription
from ydk.models.ietf.ietf_event_notifications import DeleteSubscription
from ydk.models.ietf.ietf_event_notifications import Streams
from ydk.models.ietf.ietf_event_notifications import Filters
from ydk.models.ietf.ietf_event_notifications import SubscriptionConfig
from ydk.models.ietf.ietf_event_notifications import Subscriptions
def test_ietf_inet_types(self):
from ydk.models.ietf.ietf_inet_types import IpVersion
def test_ietf_interfaces(self):
from ydk.models.ietf.ietf_interfaces import InterfaceType
from ydk.models.ietf.ietf_interfaces import Interfaces
from ydk.models.ietf.ietf_interfaces import InterfacesState
def test_ietf_interfaces_ext(self):
pass
def test_ietf_ip(self):
from ydk.models.ietf.ietf_ip import NeighborOrigin
from ydk.models.ietf.ietf_ip import IpAddressOrigin
def test_ietf_ipv4_unicast_routing(self):
from ydk.models.ietf.ietf_ipv4_unicast_routing import Ipv4Unicast
def test_ietf_ipv6_unicast_routing(self):
from ydk.models.ietf.ietf_ipv6_unicast_routing import Ipv6Unicast
def test_ietf_key_chain(self):
from ydk.models.ietf.ietf_key_chain import KeyChains
def test_ietf_netconf(self):
from ydk.models.ietf.ietf_netconf import ErrorSeverityType
from ydk.models.ietf.ietf_netconf import ErrorTagType
from ydk.models.ietf.ietf_netconf import EditOperationType
from ydk.models.ietf.ietf_netconf import GetConfig
from ydk.models.ietf.ietf_netconf import EditConfig
from ydk.models.ietf.ietf_netconf import CopyConfig
from ydk.models.ietf.ietf_netconf import DeleteConfig
from ydk.models.ietf.ietf_netconf import Lock
from ydk.models.ietf.ietf_netconf import Unlock
from ydk.models.ietf.ietf_netconf import Get
from ydk.models.ietf.ietf_netconf import CloseSession
from ydk.models.ietf.ietf_netconf import KillSession
from ydk.models.ietf.ietf_netconf import Commit
from ydk.models.ietf.ietf_netconf import DiscardChanges
from ydk.models.ietf.ietf_netconf import CancelCommit
from ydk.models.ietf.ietf_netconf import Validate
def test_ietf_netconf_acm(self):
from ydk.models.ietf.ietf_netconf_acm import ActionType
from ydk.models.ietf.ietf_netconf_acm import Nacm
def test_ietf_netconf_monitoring(self):
from ydk.models.ietf.ietf_netconf_monitoring import NetconfBeep
from ydk.models.ietf.ietf_netconf_monitoring import NetconfSsh
from ydk.models.ietf.ietf_netconf_monitoring import Rnc
from ydk.models.ietf.ietf_netconf_monitoring import Yin
from ydk.models.ietf.ietf_netconf_monitoring import Rng
from ydk.models.ietf.ietf_netconf_monitoring import Xsd
from ydk.models.ietf.ietf_netconf_monitoring import NetconfSoapOverBeep
from ydk.models.ietf.ietf_netconf_monitoring import NetconfTls
from ydk.models.ietf.ietf_netconf_monitoring import Yang
from ydk.models.ietf.ietf_netconf_monitoring import SchemaFormat
from ydk.models.ietf.ietf_netconf_monitoring import NetconfSoapOverHttps
from ydk.models.ietf.ietf_netconf_monitoring import Transport
from ydk.models.ietf.ietf_netconf_monitoring import NetconfDatastoreType
from ydk.models.ietf.ietf_netconf_monitoring import GetSchema
from ydk.models.ietf.ietf_netconf_monitoring import NetconfState
def test_ietf_netconf_notifications(self):
pass
def test_ietf_netconf_with_defaults(self):
from ydk.models.ietf.ietf_netconf_with_defaults import WithDefaultsMode
def test_ietf_ospf(self):
from ydk.models.ietf.ietf_ospf import IfLinkType
from ydk.models.ietf.ietf_ospf import AreaType
from ydk.models.ietf.ietf_ospf import Normal
from ydk.models.ietf.ietf_ospf import Nssa
from ydk.models.ietf.ietf_ospf import ShipsInTheNight
from ydk.models.ietf.ietf_ospf import Ospfv3
from ydk.models.ietf.ietf_ospf import Stub
from ydk.models.ietf.ietf_ospf import IfLinkTypeVirtualLink
from ydk.models.ietf.ietf_ospf import Ospfv2
from ydk.models.ietf.ietf_ospf import IfLinkTypeNormal
from ydk.models.ietf.ietf_ospf import IfLinkTypeShamLink
from ydk.models.ietf.ietf_ospf import OperationMode
from ydk.models.ietf.ietf_ospf import Ospf
from ydk.models.ietf.ietf_ospf import NbrStateType
from ydk.models.ietf.ietf_ospf import IfStateType
from ydk.models.ietf.ietf_ospf import PacketType
from ydk.models.ietf.ietf_ospf import RestartExitReasonType
from ydk.models.ietf.ietf_ospf import NssaTranslatorStateType
from ydk.models.ietf.ietf_ospf import RestartHelperStatusType
from ydk.models.ietf.ietf_ospf import RestartStatusType
def test_ietf_restconf_monitoring(self):
from ydk.models.ietf.ietf_restconf_monitoring import RestconfState
def test_ietf_routing(self):
from ydk.models.ietf.ietf_routing import VrfRoutingInstance
from ydk.models.ietf.ietf_routing import Direct
from ydk.models.ietf.ietf_routing import DefaultRoutingInstance
from ydk.models.ietf.ietf_routing import RoutingProtocol
from ydk.models.ietf.ietf_routing import Static
from ydk.models.ietf.ietf_routing import Ipv4
from ydk.models.ietf.ietf_routing import Ipv6
from ydk.models.ietf.ietf_routing import RoutingInstance
from ydk.models.ietf.ietf_routing import AddressFamily
from ydk.models.ietf.ietf_routing import RoutingState
from ydk.models.ietf.ietf_routing import Routing
from ydk.models.ietf.ietf_routing import FibRoute
def test_ietf_syslog_types(self):
from ydk.models.ietf.ietf_syslog_types import Cron2
from ydk.models.ietf.ietf_syslog_types import Cron
from ydk.models.ietf.ietf_syslog_types import Syslog
from ydk.models.ietf.ietf_syslog_types import Local4
from ydk.models.ietf.ietf_syslog_types import Ftp
from ydk.models.ietf.ietf_syslog_types import Uucp
from ydk.models.ietf.ietf_syslog_types import Console
from ydk.models.ietf.ietf_syslog_types import Mail
from ydk.models.ietf.ietf_syslog_types import Authpriv
from ydk.models.ietf.ietf_syslog_types import Ntp
from ydk.models.ietf.ietf_syslog_types import Auth
from ydk.models.ietf.ietf_syslog_types import User
from ydk.models.ietf.ietf_syslog_types import Local5
from ydk.models.ietf.ietf_syslog_types import News
from ydk.models.ietf.ietf_syslog_types import Local7
from ydk.models.ietf.ietf_syslog_types import Local6
from ydk.models.ietf.ietf_syslog_types import Local1
from ydk.models.ietf.ietf_syslog_types import Local0
from ydk.models.ietf.ietf_syslog_types import Local3
from ydk.models.ietf.ietf_syslog_types import Local2
from ydk.models.ietf.ietf_syslog_types import Audit
from ydk.models.ietf.ietf_syslog_types import Daemon
from ydk.models.ietf.ietf_syslog_types import Lpr
from ydk.models.ietf.ietf_syslog_types import Kern
from ydk.models.ietf.ietf_syslog_types import SyslogFacility
from ydk.models.ietf.ietf_syslog_types import Severity
def test_ietf_yang_library(self):
from ydk.models.ietf.ietf_yang_library import ModulesState
def test_ietf_yang_push(self):
from ydk.models.ietf.ietf_yang_push import CustomStream
from ydk.models.ietf.ietf_yang_push import YangPush
from ydk.models.ietf.ietf_yang_push import ErrorDataNotAuthorized
from ydk.models.ietf.ietf_yang_push import Http2
from ydk.models.ietf.ietf_yang_push import ChangeType
def test_ietf_yang_smiv2(self):
from ydk.models.ietf.ietf_yang_smiv2 import ObjectIdentity
def test_ietf_yang_types(self):
pass
def test_policy_types(self):
from ydk.models.ietf.policy_types import Control
from ydk.models.ietf.policy_types import InputInterface
from ydk.models.ietf.policy_types import SrcMac
from ydk.models.ietf.policy_types import Qos
from ydk.models.ietf.policy_types import PerfMon
from ydk.models.ietf.policy_types import Application
from ydk.models.ietf.policy_types import SecurityGroupName
from ydk.models.ietf.policy_types import PacketService
from ydk.models.ietf.policy_types import QosClass
from ydk.models.ietf.policy_types import Ipv4AclName
from ydk.models.ietf.policy_types import FlowDlci
from ydk.models.ietf.policy_types import ControlClass
from ydk.models.ietf.policy_types import InspectClass
from ydk.models.ietf.policy_types import AppnavClass
from ydk.models.ietf.policy_types import Service
from ydk.models.ietf.policy_types import Dei
from ydk.models.ietf.policy_types import Prec
from ydk.models.ietf.policy_types import AccessControlClass
from ydk.models.ietf.policy_types import PacketLength
from ydk.models.ietf.policy_types import Ipv4Acl
from ydk.models.ietf.policy_types import FlowDe
from ydk.models.ietf.policy_types import FlowIp
from ydk.models.ietf.policy_types import FlowRecord
from ydk.models.ietf.policy_types import VlanInner
from ydk.models.ietf.policy_types import AccessControl
from ydk.models.ietf.policy_types import Metadata
from ydk.models.ietf.policy_types import Vlan
from ydk.models.ietf.policy_types import AtmVci
from ydk.models.ietf.policy_types import Appnav
from ydk.models.ietf.policy_types import Inspect
from ydk.models.ietf.policy_types import ClassMap
from ydk.models.ietf.policy_types import QosGroup
from ydk.models.ietf.policy_types import WlanUserPriority
from ydk.models.ietf.policy_types import IpRtp
from ydk.models.ietf.policy_types import Ipv6Acl
from ydk.models.ietf.policy_types import AtmClp
from ydk.models.ietf.policy_types import DstMac
from ydk.models.ietf.policy_types import Cos
from ydk.models.ietf.policy_types import Pbr
from ydk.models.ietf.policy_types import DeiInner
from ydk.models.ietf.policy_types import MplsExpTop
from ydk.models.ietf.policy_types import CosInner
from ydk.models.ietf.policy_types import Ipv6AclName
from ydk.models.ietf.policy_types import MplsExpImp
from ydk.models.ietf.policy_types import SecurityGroupTag
from ydk.models.ietf.policy_types import ClassType
from ydk.models.ietf.policy_types import DiscardClass
from ydk.models.ietf.policy_types import Vpls
from ydk.models.ietf.policy_types import PolicyType
from ydk.models.ietf.policy_types import Metric
from ydk.models.ietf.policy_types import Direction
from ydk.models.ietf.policy_types import RateUnit
if __name__ == '__main__':
unittest.main()
| 53.65042 | 95 | 0.754746 | 4,551 | 31,922 | 5.078444 | 0.117117 | 0.150528 | 0.279552 | 0.365568 | 0.763456 | 0.761639 | 0.758264 | 0.595405 | 0.008394 | 0.008394 | 0 | 0.008995 | 0.195539 | 31,922 | 594 | 96 | 53.740741 | 0.891005 | 0 | 0 | 0.007505 | 0 | 0 | 0.000251 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.052533 | false | 0.007505 | 0.93621 | 0 | 0.990619 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 5 |
67920eda5812508fab3419cb28e733d46a1b4bcd | 11,149 | py | Python | tests/device_test.py | melcher83/python-google-nest-sdm | 36e2ff844e5700661da9ccbca7c5ad3b658b117d | [
"Apache-2.0"
] | null | null | null | tests/device_test.py | melcher83/python-google-nest-sdm | 36e2ff844e5700661da9ccbca7c5ad3b658b117d | [
"Apache-2.0"
] | null | null | null | tests/device_test.py | melcher83/python-google-nest-sdm | 36e2ff844e5700661da9ccbca7c5ad3b658b117d | [
"Apache-2.0"
] | null | null | null | import datetime
from google_nest_sdm_jm.device import Device
def test_device_id():
raw = {
"name": "my/device/name",
"type": "sdm.devices.types.SomeDeviceType",
}
device = Device.MakeDevice(raw, auth=None)
assert "my/device/name" == device.name
assert "sdm.devices.types.SomeDeviceType" == device.type
def test_no_traits():
raw = {
"name": "my/device/name",
}
device = Device.MakeDevice(raw, auth=None)
assert "my/device/name" == device.name
assert not ("sdm.devices.traits.Info" in device.traits)
def test_empty_traits():
raw = {
"name": "my/device/name",
"traits": {},
}
device = Device.MakeDevice(raw, auth=None)
assert "my/device/name" == device.name
assert not ("sdm.devices.traits.Info" in device.traits)
def test_info_traits():
raw = {
"name": "my/device/name",
"traits": {
"sdm.devices.traits.Info": {
"customName": "Device Name",
},
},
}
device = Device.MakeDevice(raw, auth=None)
assert "my/device/name" == device.name
assert "sdm.devices.traits.Info" in device.traits
trait = device.traits["sdm.devices.traits.Info"]
assert "Device Name" == trait.custom_name
def test_connectivity_traits():
raw = {
"name": "my/device/name",
"traits": {
"sdm.devices.traits.Connectivity": {
"status": "OFFLINE",
},
},
}
device = Device.MakeDevice(raw, auth=None)
assert "sdm.devices.traits.Connectivity" in device.traits
trait = device.traits["sdm.devices.traits.Connectivity"]
assert "OFFLINE" == trait.status
def test_fan_traits():
raw = {
"name": "my/device/name",
"traits": {
"sdm.devices.traits.Fan": {
"timerMode": "ON",
"timerTimeout": "2019-05-10T03:22:54Z",
},
},
}
device = Device.MakeDevice(raw, auth=None)
assert "sdm.devices.traits.Fan" in device.traits
trait = device.traits["sdm.devices.traits.Fan"]
assert "ON" == trait.timer_mode
assert (
datetime.datetime(2019, 5, 10, 3, 22, 54, tzinfo=datetime.timezone.utc)
== trait.timer_timeout
)
def test_humidity_traits():
raw = {
"name": "my/device/name",
"traits": {
"sdm.devices.traits.Humidity": {
"ambientHumidityPercent": "25.3",
},
},
}
device = Device.MakeDevice(raw, auth=None)
assert "sdm.devices.traits.Humidity" in device.traits
trait = device.traits["sdm.devices.traits.Humidity"]
assert "25.3" == trait.ambient_humidity_percent
def test_temperature_traits():
raw = {
"name": "my/device/name",
"traits": {
"sdm.devices.traits.Temperature": {
"ambientTemperatureCelsius": "31.1",
},
},
}
device = Device.MakeDevice(raw, auth=None)
assert "sdm.devices.traits.Temperature" in device.traits
trait = device.traits["sdm.devices.traits.Temperature"]
assert "31.1" == trait.ambient_temperature_celsius
def test_multiple_traits():
raw = {
"name": "my/device/name",
"type": "sdm.devices.types.SomeDeviceType",
"traits": {
"sdm.devices.traits.Info": {
"customName": "Device Name",
},
"sdm.devices.traits.Connectivity": {
"status": "OFFLINE",
},
},
}
device = Device.MakeDevice(raw, auth=None)
assert "my/device/name" == device.name
assert "sdm.devices.types.SomeDeviceType" == device.type
assert "sdm.devices.traits.Info" in device.traits
trait = device.traits["sdm.devices.traits.Info"]
assert "Device Name" == trait.custom_name
assert "sdm.devices.traits.Connectivity" in device.traits
trait = device.traits["sdm.devices.traits.Connectivity"]
assert "OFFLINE" == trait.status
def test_no_parent_relations():
raw = {
"name": "my/device/name",
}
device = Device.MakeDevice(raw, auth=None)
assert "my/device/name" == device.name
assert {} == device.parent_relations
def test_empty_parent_relations():
raw = {
"name": "my/device/name",
"parentRelations": [],
}
device = Device.MakeDevice(raw, auth=None)
assert "my/device/name" == device.name
assert {} == device.parent_relations
def test_parent_relation():
raw = {
"name": "my/device/name",
"parentRelations": [
{
"parent": "my/structure/or/room",
"displayName": "Some Name",
},
],
}
device = Device.MakeDevice(raw, auth=None)
assert "my/device/name" == device.name
assert {"my/structure/or/room": "Some Name"} == device.parent_relations
def test_multiple_parent_relations():
raw = {
"name": "my/device/name",
"parentRelations": [
{
"parent": "my/structure/or/room1",
"displayName": "Some Name1",
},
{
"parent": "my/structure/or/room2",
"displayName": "Some Name2",
},
],
}
device = Device.MakeDevice(raw, auth=None)
assert "my/device/name" == device.name
assert {
"my/structure/or/room1": "Some Name1",
"my/structure/or/room2": "Some Name2",
} == device.parent_relations
def test_thermostat_eco_traits():
raw = {
"name": "my/device/name",
"traits": {
"sdm.devices.traits.ThermostatEco": {
"availableModes": ["MANUAL_ECHO", "OFF"],
"mode": "MANUAL_ECHO",
"heatCelsius": 20.0,
"coolCelsius": 22.0,
},
},
}
device = Device.MakeDevice(raw, auth=None)
assert "sdm.devices.traits.ThermostatEco" in device.traits
trait = device.traits["sdm.devices.traits.ThermostatEco"]
assert ["MANUAL_ECHO", "OFF"] == trait.available_modes
assert "MANUAL_ECHO" == trait.mode
assert 20.0 == trait.heat_celsius
assert 22.0 == trait.cool_celsius
def test_thermostat_hvac_traits():
raw = {
"name": "my/device/name",
"traits": {
"sdm.devices.traits.ThermostatHvac": {
"status": "HEATING",
},
},
}
device = Device.MakeDevice(raw, auth=None)
assert "sdm.devices.traits.ThermostatHvac" in device.traits
trait = device.traits["sdm.devices.traits.ThermostatHvac"]
assert "HEATING" == trait.status
def test_thermostat_mode_traits():
raw = {
"name": "my/device/name",
"traits": {
"sdm.devices.traits.ThermostatMode": {
"availableModes": ["HEAT", "COOL", "HEATCOOL", "OFF"],
"mode": "COOL",
},
},
}
device = Device.MakeDevice(raw, auth=None)
assert "sdm.devices.traits.ThermostatMode" in device.traits
trait = device.traits["sdm.devices.traits.ThermostatMode"]
assert ["HEAT", "COOL", "HEATCOOL", "OFF"] == trait.available_modes
assert "COOL" == trait.mode
def test_thermostat_temperature_setpoint_traits():
raw = {
"name": "my/device/name",
"traits": {
"sdm.devices.traits.ThermostatTemperatureSetpoint": {
"heatCelsius": 20.0,
"coolCelsius": 22.0,
},
},
}
device = Device.MakeDevice(raw, auth=None)
assert "sdm.devices.traits.ThermostatTemperatureSetpoint" in device.traits
trait = device.traits["sdm.devices.traits.ThermostatTemperatureSetpoint"]
assert 20.0 == trait.heat_celsius
assert 22.0 == trait.cool_celsius
def test_thermostat_multiple_traits():
raw = {
"name": "my/device/name",
"traits": {
"sdm.devices.traits.ThermostatEco": {
"availableModes": ["MANUAL_ECHO", "OFF"],
"mode": "MANUAL_ECHO",
"heatCelsius": 21.0,
"coolCelsius": 22.0,
},
"sdm.devices.traits.ThermostatHvac": {
"status": "HEATING",
},
"sdm.devices.traits.ThermostatMode": {
"availableModes": ["HEAT", "COOL", "HEATCOOL", "OFF"],
"mode": "COOL",
},
"sdm.devices.traits.ThermostatTemperatureSetpoint": {
"heatCelsius": 23.0,
"coolCelsius": 24.0,
},
},
}
device = Device.MakeDevice(raw, auth=None)
assert "sdm.devices.traits.ThermostatEco" in device.traits
assert "sdm.devices.traits.ThermostatHvac" in device.traits
assert "sdm.devices.traits.ThermostatMode" in device.traits
assert "sdm.devices.traits.ThermostatTemperatureSetpoint" in device.traits
trait = device.traits["sdm.devices.traits.ThermostatEco"]
assert ["MANUAL_ECHO", "OFF"] == trait.available_modes
assert "MANUAL_ECHO" == trait.mode
assert 21.0 == trait.heat_celsius
assert 22.0 == trait.cool_celsius
trait = device.traits["sdm.devices.traits.ThermostatHvac"]
assert "HEATING" == trait.status
trait = device.traits["sdm.devices.traits.ThermostatMode"]
assert ["HEAT", "COOL", "HEATCOOL", "OFF"] == trait.available_modes
assert "COOL" == trait.mode
trait = device.traits["sdm.devices.traits.ThermostatTemperatureSetpoint"]
assert 23.0 == trait.heat_celsius
assert 24.0 == trait.cool_celsius
def test_camera_image_traits():
raw = {
"name": "my/device/name",
"traits": {
"sdm.devices.traits.CameraImage": {
"maxImageResolution": {
"width": 500,
"height": 300,
}
},
},
}
device = Device.MakeDevice(raw, auth=None)
assert "sdm.devices.traits.CameraImage" in device.traits
trait = device.traits["sdm.devices.traits.CameraImage"]
assert 500 == trait.max_image_resolution.width
assert 300 == trait.max_image_resolution.height
def test_camera_live_stream_traits():
raw = {
"name": "my/device/name",
"traits": {
"sdm.devices.traits.CameraLiveStream": {
"maxVideoResolution": {
"width": 500,
"height": 300,
},
"videoCodecs": ["H264"],
"audioCodecs": ["AAC"],
},
},
}
device = Device.MakeDevice(raw, auth=None)
assert "sdm.devices.traits.CameraLiveStream" in device.traits
trait = device.traits["sdm.devices.traits.CameraLiveStream"]
assert 500 == trait.max_video_resolution.width
assert 300 == trait.max_video_resolution.height
assert ["H264"] == trait.video_codecs
assert ["AAC"] == trait.audio_codecs
def test_camera_event_image_traits():
raw = {
"name": "my/device/name",
"traits": {
"sdm.devices.traits.CameraEventImage": {},
},
}
device = Device.MakeDevice(raw, auth=None)
assert "sdm.devices.traits.CameraEventImage" in device.traits
| 30.969444 | 79 | 0.577092 | 1,137 | 11,149 | 5.569921 | 0.109938 | 0.093163 | 0.138955 | 0.10769 | 0.830728 | 0.789357 | 0.763461 | 0.752724 | 0.697616 | 0.656087 | 0 | 0.01545 | 0.280115 | 11,149 | 359 | 80 | 31.05571 | 0.773611 | 0 | 0 | 0.556962 | 0 | 0 | 0.309804 | 0.180016 | 0 | 0 | 0 | 0 | 0.212025 | 1 | 0.066456 | false | 0 | 0.006329 | 0 | 0.072785 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 |
67c8587ab30b1e529c0dd392eed85ff340c774c6 | 79 | py | Python | FreeTAKServer/model/FTSModel/__init__.py | logikal/FreeTakServer | c0916ce65781b5c60079d6440e52db8fc6ee0467 | [
"MIT"
] | 27 | 2020-05-01T01:45:59.000Z | 2020-07-03T00:17:13.000Z | FreeTAKServer/model/FTSModel/__init__.py | logikal/FreeTakServer | c0916ce65781b5c60079d6440e52db8fc6ee0467 | [
"MIT"
] | 34 | 2020-04-26T11:25:52.000Z | 2020-07-03T21:06:34.000Z | FreeTAKServer/model/FTSModel/__init__.py | logikal/FreeTakServer | c0916ce65781b5c60079d6440e52db8fc6ee0467 | [
"MIT"
] | 15 | 2020-05-01T01:46:07.000Z | 2020-07-03T12:14:04.000Z | from FreeTAKServer.model.FTSModel.fts_protocol_object import FTSProtocolObject
| 39.5 | 78 | 0.911392 | 9 | 79 | 7.777778 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.050633 | 79 | 1 | 79 | 79 | 0.933333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 5 |
67e358ea11f3c8172978cdadd684d279096ed15c | 8,346 | py | Python | tests/test.py | TheStalkerDen/Comp-Architecture-Lab1 | ad92aed0c639cb223adc033aba5f79cc6a8f5344 | [
"MIT"
] | null | null | null | tests/test.py | TheStalkerDen/Comp-Architecture-Lab1 | ad92aed0c639cb223adc033aba5f79cc6a8f5344 | [
"MIT"
] | null | null | null | tests/test.py | TheStalkerDen/Comp-Architecture-Lab1 | ad92aed0c639cb223adc033aba5f79cc6a8f5344 | [
"MIT"
] | null | null | null | import os
import unittest
from site_parser import site_parser
dir_path = os.path.dirname(os.path.realpath(__file__))
class GetSiteListFromFileTests(unittest.TestCase):
def test1(self):
site_list = site_parser.get_site_list_from_file(dir_path + "/resources/site-list1.xml")
self.assertEqual(site_list, ["www.site1.org", "www.site2.org"])
def test2(self):
site_list = site_parser.get_site_list_from_file(dir_path + "/resources/site-list2.xml")
self.assertEqual(site_list, ["www.site1.org", "www.site2.org", "www.site3.org"])
def test3(self):
site_list = site_parser.get_site_list_from_file(dir_path + "/resources/site-list3.xml")
self.assertEqual(site_list, [])
class ConvertLinkToAbsoluteTests(unittest.TestCase):
def test1(self):
url = site_parser.convert_link_to_absolute("http://www.test.ua/doc/", "22/1.doc")
self.assertEqual("http://www.test.ua/doc/22/1.doc", url)
def test2(self):
url = site_parser.convert_link_to_absolute("http://www.test.ua/doc/", "22/1.html#21")
self.assertEqual("http://www.test.ua/doc/22/1.html", url)
def test3(self):
url = site_parser.convert_link_to_absolute("http://www.test.ua/doc/", "../1.html#21")
self.assertEqual("http://www.test.ua/1.html", url)
class GetMp3GenreAndTitleTests(unittest.TestCase):
def test1(self):
genre, title = site_parser.get_mp3_genre_and_title(dir_path +
"/resources/All Is Fair In Love And Brostep.mp3")
self.assertEqual("Dubstep / Breakbeat / Electro House", genre)
self.assertEqual("All Is Fair In Love And Brostep (Feat. The Ragga Twins)", title)
def test2(self):
genre, title = site_parser.get_mp3_genre_and_title(dir_path +
"/resources/Danheim -Vega.mp3")
self.assertEqual("Undefined", genre)
self.assertEqual("No-title", title)
class CollectAllLinksFromHtmlTests(unittest.TestCase):
def test1(self):
html_page = '''
<html>
<head>
<title>Test</title>
</head>
<body>
<a href="http://www.testsite.ua/1">TestPage</a>
</body>
</html>
'''
links = site_parser.collect_all_links_from_html(html_page)
self.assertEqual(["http://www.testsite.ua/1"], links)
def test2(self):
html_page = '''
<html>
<head>
<title>Test</title>
</head>
<body>
<a href="http://www.testsite.ua/1">TestPage</a>
<div class="test">
<a href="doc/2.html">Doc2</a>
</div>
</body>
</html>
'''
links = site_parser.collect_all_links_from_html(html_page)
self.assertEqual(["http://www.testsite.ua/1", "doc/2.html"], links)
def test3(self):
html_page = '''
<html>
<head>
<title>Test</title>
</head>
<body>
</body>
</html>
'''
links = site_parser.collect_all_links_from_html(html_page)
self.assertEqual([], links)
class GenerateXmlResStringTests(unittest.TestCase):
def test1(self):
result = site_parser.generate_xml_res_string({})
with open(dir_path + "/resources/result1.xml", 'rb') as file:
expected = file.read()
self.assertEqual(expected, result)
def test2(self):
result = site_parser.generate_xml_res_string({"Genre1": [{"title": "Song", "link": "/1", "filename": "fn"}]})
with open(dir_path + "/resources/result2.xml", 'rb') as file:
expected = file.read()
self.assertEqual(expected, result)
class GenerateXmlResultInResFileTests(unittest.TestCase):
def test1(self):
with open(dir_path + "/resources/result.txt", "wb+") as res_file, \
open(dir_path + "/resources/result1.xml", 'rb') as exp_file:
site_parser.generate_xml_result_in_result_file({}, res_file)
res_file.seek(0)
result = res_file.read()
expected = exp_file.read()
self.assertEqual(expected, result)
def test2(self):
with open(dir_path + "/resources/result.txt", "wb+") as res_file, \
open(dir_path + "/resources/result2.xml", 'rb') as exp_file:
site_parser.generate_xml_result_in_result_file({"Genre1": [{"title": "Song",
"link": "/1",
"filename": "fn"}]},
res_file)
res_file.seek(0)
result = res_file.read()
expected = exp_file.read()
self.assertEqual(expected, result)
class ConvertLinksToAbsoluteTests(unittest.TestCase):
def test1(self):
links = site_parser.convert_links_to_absolute("http://www.test.ua/docs/", ["1.html", "../mp3/1.mp3"])
self.assertEqual(["http://www.test.ua/docs/1.html", "http://www.test.ua/mp3/1.mp3"], links)
class AnalyzeMp3FromLinksTests(unittest.TestCase):
def test1(self):
links = ["file:///" + dir_path + "/resources/All Is Fair In Love And Brostep.mp3"]
result = site_parser.analyze_mp3_from_links(links, use_gevent=False)
expected = {'Dubstep / Breakbeat / Electro House': [{'filename': 'All Is Fair In Love And '
'Brostep.mp3',
'link': 'file:///' + dir_path + '/resources/All '
'Is Fair In Love And '
'Brostep.mp3',
'title': 'All Is Fair In Love And '
'Brostep (Feat. The Ragga '
'Twins)'}]}
self.assertEqual(expected, result)
def test2(self):
links = ["file:///" + dir_path + "/resources/All Is Fair In Love And Brostep.mp3"]
result = site_parser.analyze_mp3_from_links(links, use_gevent=True)
expected = {'Dubstep / Breakbeat / Electro House': [{'filename': 'All Is Fair In Love And '
'Brostep.mp3',
'link': 'file:///' + dir_path + '/resources/All '
'Is Fair In Love And '
'Brostep.mp3',
'title': 'All Is Fair In Love And '
'Brostep (Feat. The Ragga '
'Twins)'}]}
self.assertEqual(expected, result)
class GetMp3LinksTests(unittest.TestCase):
def test1(self):
links = ["file:///" + dir_path + "/resources/site.html"]
result = site_parser.get_mp3_links(links, 2, use_gevent=False)
self.assertEqual(["file:///" + dir_path + "/resources/All Is Fair In Love And Brostep.mp3",
"file:///" + dir_path + "/resources/Danheim -Vega.mp3"], result)
def test2(self):
links = ["file:///" + dir_path + "/resources/site.html"]
result = site_parser.get_mp3_links(links, 2, use_gevent=True)
self.assertEqual(["file:///" + dir_path + "/resources/All Is Fair In Love And Brostep.mp3",
"file:///" + dir_path + "/resources/Danheim -Vega.mp3"], result)
if __name__ == '__main__':
unittest.main()
| 45.358696 | 117 | 0.497364 | 852 | 8,346 | 4.691315 | 0.137324 | 0.055041 | 0.084063 | 0.065049 | 0.821116 | 0.775332 | 0.757318 | 0.728797 | 0.690268 | 0.65399 | 0 | 0.018098 | 0.377666 | 8,346 | 183 | 118 | 45.606557 | 0.751444 | 0 | 0 | 0.626667 | 0 | 0 | 0.304337 | 0.027678 | 0 | 0 | 0 | 0 | 0.146667 | 1 | 0.133333 | false | 0 | 0.02 | 0 | 0.213333 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 |
67f5ceb1b8015603dccdabd4e1b9aeb2dd383adb | 5,640 | py | Python | tests/test_preparator.py | haginot/auto-prep | b1de3eceba5b82432e7042e7e62270df467ed828 | [
"Apache-2.0"
] | null | null | null | tests/test_preparator.py | haginot/auto-prep | b1de3eceba5b82432e7042e7e62270df467ed828 | [
"Apache-2.0"
] | 4 | 2019-01-15T01:55:46.000Z | 2019-02-21T04:15:25.000Z | tests/test_preparator.py | haginot/auto-prep | b1de3eceba5b82432e7042e7e62270df467ed828 | [
"Apache-2.0"
] | null | null | null | import os
import tempfile
import shutil
import unittest
from autoprep.preparator import Preparator, PreparedData
from autoprep.train_data import TrainData
class TestPreparator(unittest.TestCase):
num_test_file = 6
num_test_group = 2
test_content = ["""
No.,選手名,守備,生年月日,年齢,年数,身長,体重,血液型,投打,出身地,年俸(推定)
0,上本 崇司,内野手,1990/08/22,28歳,6年,170cm,71kg,A型,右両,広島,800万円
2,田中 広輔,内野手,1989/07/03,29歳,5年,171cm,85kg,A型,右左,神奈川,"14,000万円"
4,小窪 哲也,内野手,1985/04/12,33歳,11年,175cm,83kg,O型,右右,奈良,"3,300万円"
6,安部 友裕,内野手,1989/06/24,29歳,11年,181cm,81kg,O型,右左,福岡,"4,600万円"
7,堂林 翔太,内野手,1991/08/17,27歳,9年,183cm,88kg,A型,右右,愛知,"1,500万円"
9,丸 佳浩,外野手,1989/04/11,29歳,11年,177cm,90kg,AB型,右左,千葉,"21,000万円"
10,岩本 貴裕,外野手,1986/04/18,32歳,10年,182cm,96kg,A型,左左,広島,"1,600万円"
11,福井 優也,投手,1988/02/08,30歳,8年,178cm,85kg,A型,右右,岡山,"3,100万円"
12,九里 亜蓮,投手,1991/09/01,27歳,5年,187cm,92kg,A型,右右,鳥取,"3,800万円"
""", """
No.,選手名,守備,生年月日,年齢,年数,身長,体重,血液型,投打,出身地,年俸(推定)
0,吉川 尚輝,内野手,1995/02/08,23歳,2年,177cm,79kg,A型,右左,岐阜,"1,300万円"
0,寺内 崇幸,内野手,1983/05/27,35歳,12年,177cm,73kg,B型,右右,栃木,"3,200万円"
1,比嘉 賢伸,内野手,2000/01/12,18歳,1年,180cm,82kg,A型,右左,大阪,250万円
2,陽 岱鋼,外野手,1987/01/17,31歳,13年,183cm,89kg,A型,右右,台湾,"30,000万円"
2,加藤 脩平,外野手,1999/03/28,19歳,2年,178cm,79kg,O型,右左,静岡,250万円
3,山川 和大,投手,1995/01/04,24歳,2年,166cm,74kg,A型,右左,兵庫,250万円
4,笠井 駿,外野手,1995/04/20,23歳,1年,180cm,80kg,B型,右右,東京,250万円
5,ゲレーロ,外野手,1986/11/20,32歳,2年,182cm,99kg,不明,右右,キューバ,"40,000万円"
5,広畑 塁,捕手,1995/06/17,23歳,1年,177cm,72kg,O型,右左,福岡,250万円
""", """
No.,選手名,守備,生年月日,年齢,年数,身長,体重,血液型,投打,出身地,年俸(推定)
0,比屋根 渉,外野手,1987/06/20,31歳,7年,180cm,70kg,O型,右右,沖縄,"1,500万円"
1,山田 哲人,内野手,1992/07/16,26歳,8年,180cm,76kg,O型,右右,兵庫,"28,000万円"
2,大引 啓次,内野手,1984/06/29,34歳,12年,178cm,84kg,A型,右右,大阪,"6,000万円"
3,西浦 直亨,内野手,1991/04/11,27歳,5年,178cm,75kg,B型,右右,奈良,"1,700万円"
4,バレンティン,外野手,1984/07/02,34歳,8年,185cm,100kg,不明,右右,アンティル,"33,300万円"
5,川端 慎吾,内野手,1987/10/16,31歳,13年,185cm,86kg,O型,右左,大阪,"14,000万円"
8,武内 晋一,内野手,1983/12/10,35歳,13年,175cm,90kg,O型,左左,兵庫,"1,700万円"
9,塩見 泰隆,外野手,1993/06/12,25歳,1年,179cm,76kg,B型,右右,神奈川,"1,000万円"
10,荒木 貴裕,内野手,1987/07/26,31歳,9年,180cm,84kg,AB型,右右,富山,"2,300万円"
""", """
背番号,選手名,打率,試合,打席数,打数,安打,本塁打,打点,盗塁,四球,死球,三振,犠打,併殺打,出塁率,長打率,OPS,RC27,XR27
2,田中 広輔,.262,143,675,572,150,10,60,32,75,17,118,6,6,.362,.383,.745,5.22,5.23
33,菊池 涼介,.233,139,642,557,130,13,60,10,51,3,111,30,5,.301,.355,.656,3.70,3.68
9,丸 佳浩,.306,125,566,432,132,39,97,10,130,3,130,0,5,.468,.627,1.096,10.61,10.35
51,鈴木 誠也,.320,124,520,422,135,30,94,4,88,5,116,0,4,.438,.618,1.057,10.02,9.75
37,野間 峻祥,.286,126,447,405,116,5,46,17,30,6,69,4,2,.343,.393,.736,4.95,4.86
44,松山 竜平,.302,124,446,397,120,12,74,2,42,2,46,0,10,.368,.466,.834,6.24,6.07
27,會澤 翼,.305,106,377,315,96,13,42,0,39,14,56,5,6,.401,.492,.893,7.27,7.11
63,西川 龍馬,.309,107,361,327,101,6,46,5,27,2,51,4,4,.364,.450,.814,6.04,5.72
95,バティスタ,.242,99,302,273,66,25,55,0,26,1,81,0,6,.308,.546,.854,5.57,5.75
""", """
背番号,選手名,打率,試合,打席数,打数,安打,本塁打,打点,盗塁,四球,死球,三振,犠打,併殺打,出塁率,長打率,OPS,RC27,XR27
25,岡本 和真,.309,143,616,540,167,33,100,2,72,4,120,0,11,.394,.541,.935,7.77,7.53
33,マギー,.285,132,547,499,142,21,84,2,41,1,92,0,12,.336,.467,.803,5.52,5.50
6,坂本 勇人,.345,109,502,441,152,18,67,9,61,0,83,0,4,.424,.537,.962,8.85,8.30
9,亀井 善行,.254,123,461,422,107,13,49,4,36,2,70,0,6,.315,.393,.708,4.47,4.43
7,長野 久義,.290,116,426,383,111,13,52,3,41,1,69,0,5,.359,.433,.793,5.80,5.65
0,吉川 尚輝,.253,92,355,316,80,4,29,11,19,5,61,13,5,.304,.361,.665,3.71,3.68
5,ゲレーロ,.244,82,323,287,70,15,40,2,29,6,62,0,8,.325,.460,.785,4.86,4.90
22,小林 誠司,.219,119,313,265,58,2,26,0,27,4,58,16,8,.300,.275,.575,2.54,2.55
2,陽 岱鋼,.245,87,276,253,62,10,37,2,17,2,72,3,7,.297,.427,.724,3.99,4.02
""", """
背番号,選手名,打率,試合,打席数,打数,安打,本塁打,打点,盗塁,四球,死球,三振,犠打,併殺打,出塁率,長打率,OPS,RC27,XR27
1,山田 哲人,.315,140,637,524,165,34,89,33,106,4,119,0,8,.432,.582,1.014,9.69,9.36
4,バレンティン,.268,142,602,514,138,38,131,1,85,0,121,0,15,.370,.533,.904,6.74,6.74
42,坂口 智隆,.317,139,595,508,161,3,37,9,75,3,60,7,15,.406,.394,.800,5.94,5.68
23,青木 宣親,.327,127,567,495,162,10,67,3,51,19,48,0,13,.409,.475,.884,7.18,6.80
3,西浦 直亨,.242,138,550,479,116,10,55,1,40,8,88,20,10,.309,.363,.673,3.67,3.67
41,雄平,.318,125,482,446,142,11,67,6,33,1,62,0,13,.365,.439,.805,5.82,5.57
52,中村 悠平,.211,123,401,341,72,5,26,2,31,5,39,22,7,.285,.287,.572,2.61,2.71
5,川端 慎吾,.259,97,334,297,77,3,31,1,32,3,37,1,11,.336,.327,.663,3.74,3.71
33,畠山 和洋,.248,75,155,129,32,5,27,0,26,0,23,0,4,.374,.411,.785,5.49,5.45
"""]
def setUp(self):
self.test_dir = tempfile.mkdtemp()
for i in range(0, self.num_test_file):
self.test_file = os.path.join(self.test_dir, f"test_data_{i}.csv")
with open(self.test_file, 'w') as fp:
fp.write(self.test_content[i])
self.raw_data = TrainData(self.test_dir)
def tearDown(self):
shutil.rmtree(self.test_dir)
def __test_prepare(self):
p = Preparator(self.raw_data)
prepared = p.prepare()
self.assertIsInstance(prepared, list)
self.assertEqual(len(prepared), self.num_test_group)
self.assertIsInstance(prepared[0], PreparedData)
self.assertIsInstance(prepared[1], PreparedData)
self.assertEqual(prepared[0].df.shape, (27, 13))
self.assertEqual(prepared[1].df.shape, (27, 21))
dtypes_1 = [
'int64', 'object', 'object', 'datetime64[ns]',
'int64', 'int64', 'int64', 'int64', 'object',
'object', 'object', 'int64', 'object'
]
self.assertEqual(list(prepared[0].df.dtypes.astype(str)), dtypes_1)
self.assertFalse(prepared[0].pmetas[0].is_key)
self.assertTrue(prepared[0].pmetas[1].is_key)
self.assertEqual(prepared[0].pmetas[4].unit, '歳')
if __name__ == '__main__':
unittest.main()
| 47.79661 | 78 | 0.658865 | 1,342 | 5,640 | 2.742176 | 0.423994 | 0.015217 | 0.011957 | 0.008967 | 0.068478 | 0.068478 | 0.068478 | 0.068478 | 0.068478 | 0.068478 | 0 | 0.353819 | 0.085461 | 5,640 | 117 | 79 | 48.205128 | 0.359636 | 0 | 0 | 0.104762 | 0 | 0.571429 | 0.728191 | 0.653546 | 0 | 0 | 0 | 0 | 0.095238 | 1 | 0.028571 | false | 0 | 0.057143 | 0 | 0.12381 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 |
db081d43450f6c4fda6811f7ebe10615c941da97 | 173 | py | Python | authentication/socialaccount/providers/douban/urls.py | vo0doO/pydj-persweb | efcd6b7090230f7c0b9ec056008f6d1d9e876ed9 | [
"CC0-1.0"
] | null | null | null | authentication/socialaccount/providers/douban/urls.py | vo0doO/pydj-persweb | efcd6b7090230f7c0b9ec056008f6d1d9e876ed9 | [
"CC0-1.0"
] | 4 | 2020-05-06T17:22:00.000Z | 2021-12-13T20:43:30.000Z | authentication/socialaccount/providers/douban/urls.py | vo0doO/pydj-persweb | efcd6b7090230f7c0b9ec056008f6d1d9e876ed9 | [
"CC0-1.0"
] | null | null | null | from authentication.socialaccount.providers.oauth2.urls import default_urlpatterns
from .provider import DoubanProvider
urlpatterns = default_urlpatterns(DoubanProvider)
| 24.714286 | 82 | 0.872832 | 17 | 173 | 8.764706 | 0.647059 | 0.241611 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.006289 | 0.080925 | 173 | 6 | 83 | 28.833333 | 0.930818 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.666667 | 0 | 0.666667 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 5 |
db15669822e33195137f530825c8a64f0e8d2d37 | 162 | py | Python | lib/exaproxy/reactor/__init__.py | oriolarcas/exaproxy | 5dc732760d811fd4986f83e6dd78d29228927aec | [
"BSD-2-Clause"
] | 124 | 2015-01-03T10:42:17.000Z | 2021-12-24T05:30:25.000Z | lib/exaproxy/reactor/__init__.py | oriolarcas/exaproxy | 5dc732760d811fd4986f83e6dd78d29228927aec | [
"BSD-2-Clause"
] | 14 | 2015-02-06T02:21:16.000Z | 2019-01-10T18:22:18.000Z | lib/exaproxy/reactor/__init__.py | oriolarcas/exaproxy | 5dc732760d811fd4986f83e6dd78d29228927aec | [
"BSD-2-Clause"
] | 25 | 2015-04-11T04:01:57.000Z | 2021-07-21T07:46:31.000Z | # encoding: utf-8
"""
__init__.py
Created by Thomas Mangin on 2012-02-24.
Copyright (c) 2011-2013 Exa Networks. All rights reserved.
"""
from .reactor import *
| 16.2 | 58 | 0.716049 | 25 | 162 | 4.48 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.125 | 0.160494 | 162 | 9 | 59 | 18 | 0.698529 | 0.790123 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 5 |
e1e140e236afeed7a8b51ec0146a1827f32d5cde | 36 | py | Python | tests/utils/__init__.py | ptcfrontend/graphql-relay-py | e9122d3a9754fc866ce5da64d3ccc3003a7b70d2 | [
"MIT"
] | 124 | 2015-10-08T18:45:49.000Z | 2022-02-15T01:51:28.000Z | tests/utils/__init__.py | ptcfrontend/graphql-relay-py | e9122d3a9754fc866ce5da64d3ccc3003a7b70d2 | [
"MIT"
] | 40 | 2015-10-10T07:07:37.000Z | 2022-01-28T13:54:20.000Z | tests/utils/__init__.py | ptcfrontend/graphql-relay-py | e9122d3a9754fc866ce5da64d3ccc3003a7b70d2 | [
"MIT"
] | 35 | 2016-05-17T15:35:07.000Z | 2022-01-25T07:24:08.000Z | """Tests for graphql_relay.utils"""
| 18 | 35 | 0.722222 | 5 | 36 | 5 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.083333 | 36 | 1 | 36 | 36 | 0.757576 | 0.805556 | 0 | null | 0 | null | 0 | 0 | null | 0 | 0 | 0 | null | 1 | null | true | 0 | 0 | null | null | null | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 |
c01927bf384dbb066bd3ba336f0610bf96eee308 | 43 | py | Python | bin/Debug/test.py | gfang200/mtgPricingProgram | 891096cda103bae4d6b92d2ba608d960afb21929 | [
"ADSL"
] | null | null | null | bin/Debug/test.py | gfang200/mtgPricingProgram | 891096cda103bae4d6b92d2ba608d960afb21929 | [
"ADSL"
] | null | null | null | bin/Debug/test.py | gfang200/mtgPricingProgram | 891096cda103bae4d6b92d2ba608d960afb21929 | [
"ADSL"
] | null | null | null | for i in range(10000):
print "hello"
| 14.333333 | 23 | 0.604651 | 7 | 43 | 3.714286 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.16129 | 0.27907 | 43 | 2 | 24 | 21.5 | 0.677419 | 0 | 0 | 0 | 0 | 0 | 0.121951 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0 | null | null | 0.5 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 5 |
c0350d9c8a8f173d1deea91435da1aa1e485dc13 | 50 | py | Python | src/__init__.py | michaeldowns2/AC295_project | d4f7fb972a6b5e7ba5aaff561b3ba455acdd565e | [
"MIT"
] | null | null | null | src/__init__.py | michaeldowns2/AC295_project | d4f7fb972a6b5e7ba5aaff561b3ba455acdd565e | [
"MIT"
] | null | null | null | src/__init__.py | michaeldowns2/AC295_project | d4f7fb972a6b5e7ba5aaff561b3ba455acdd565e | [
"MIT"
] | 1 | 2020-10-28T22:11:13.000Z | 2020-10-28T22:11:13.000Z | from .models import *
from .gpt2_keras import gpt2 | 25 | 28 | 0.8 | 8 | 50 | 4.875 | 0.625 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.046512 | 0.14 | 50 | 2 | 28 | 25 | 0.860465 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 5 |
c04b555e9b59cf3e0dd338a98c5866c562d9ff7c | 620 | py | Python | tests/conftest.py | aaron-cesaro/defund-dao-v2 | 0b4c29217182d95d2489dfb2cd04d4d7a67bf79d | [
"MIT"
] | null | null | null | tests/conftest.py | aaron-cesaro/defund-dao-v2 | 0b4c29217182d95d2489dfb2cd04d4d7a67bf79d | [
"MIT"
] | null | null | null | tests/conftest.py | aaron-cesaro/defund-dao-v2 | 0b4c29217182d95d2489dfb2cd04d4d7a67bf79d | [
"MIT"
] | null | null | null | import pytest
@pytest.fixture()
def URI():
return "https://ipfs.io/ipfs/QmSgfMARvriBWwPVh4x7mETGkqUJpwtoUQc8BAmoRSK5hU?filename=Defund Venture League #1 - Analyst.json"
@pytest.fixture()
def leagues():
return ["Venture", "Treasury", "Development", "Compliance"]
@pytest.fixture()
def venture_league_roles():
return ["Analyst", "Associate"]
@pytest.fixture()
def treasury_league_roles():
return ["Auditor", "Approver"]
@pytest.fixture()
def development_league_roles():
return ["Developer", "Product-Owner"]
@pytest.fixture()
def compliance_league_roles():
return ["Enforcer", "Legal"]
| 19.375 | 129 | 0.714516 | 65 | 620 | 6.692308 | 0.461538 | 0.17931 | 0.22069 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.009259 | 0.129032 | 620 | 31 | 130 | 20 | 0.796296 | 0 | 0 | 0.315789 | 0 | 0.052632 | 0.351613 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.315789 | true | 0 | 0.052632 | 0.315789 | 0.684211 | 0 | 0 | 0 | 0 | null | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 5 |
220347a39ae7aac4dabd401738f5de55c93cb680 | 70 | py | Python | graph2vec/__init__.py | elifriedman/node2vec | 0fade3002f84e19cfe7564b5cb9d232dfd63d1ea | [
"MIT"
] | null | null | null | graph2vec/__init__.py | elifriedman/node2vec | 0fade3002f84e19cfe7564b5cb9d232dfd63d1ea | [
"MIT"
] | null | null | null | graph2vec/__init__.py | elifriedman/node2vec | 0fade3002f84e19cfe7564b5cb9d232dfd63d1ea | [
"MIT"
] | null | null | null | from graph2vec.graph2vec import get_walks, learn_embeddings, get_docs
| 35 | 69 | 0.871429 | 10 | 70 | 5.8 | 0.8 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.03125 | 0.085714 | 70 | 1 | 70 | 70 | 0.875 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 5 |
22287a4dd692878915ea909fc385bbf84af7e573 | 4,531 | py | Python | pymorphy/morph_tests/utilities.py | artemrizhov/pymorphy | 03085c7ffa5663841e568017b4de189f07dd6496 | [
"MIT"
] | 1 | 2017-08-27T19:14:27.000Z | 2017-08-27T19:14:27.000Z | pymorphy/morph_tests/utilities.py | artemrizhov/pymorphy | 03085c7ffa5663841e568017b4de189f07dd6496 | [
"MIT"
] | null | null | null | pymorphy/morph_tests/utilities.py | artemrizhov/pymorphy | 03085c7ffa5663841e568017b4de189f07dd6496 | [
"MIT"
] | null | null | null | #coding: utf-8
from dicts import morph_ru
from pymorphy.morph_tests.base import MorphTestCase, unittest2
class TestPluraliseRu(MorphTestCase):
def test_nouns(self):
self.assertPlural(u'ГОРОД', u'ГОРОДА')
self.assertPlural(u'СТАЛЬ', u'СТАЛИ')
self.assertPlural(u'СТАЛЕВАРОМ', u'СТАЛЕВАРАМИ')
def test_predictor_nouns(self):
self.assertPlural(u'БУТЯВКОЙ', u'БУТЯВКАМИ')
def test_verbs(self):
self.assertPlural(u'ГУЛЯЛ', u'ГУЛЯЛИ')
self.assertPlural(u'ГУЛЯЛА', u'ГУЛЯЛИ')
self.assertPlural(u'РАСПРЫГИВАЕТСЯ', u'РАСПРЫГИВАЮТСЯ')
def test_prefix(self):
self.assertPlural(u'СУПЕРКОТ', u'СУПЕРКОТЫ')
def test_predict_by_suffix(self):
self.assertPlural(u'ДЕПЫРТАМЕНТ', u'ДЕПЫРТАМЕНТЫ')
self.assertPlural(u'ХАБР', u'ХАБРЫ')
def test_invalid_word(self):
self.assertPlural(u'123', u'123')
def test_invalid_graminfo(self):
self.assertPlural(u'НАЧАЛО', u'НАЧАЛА', gram_class=u'С')
class TestInflectRu(MorphTestCase):
def test_inflect(self):
self.assertInflected(u"СУСЛИК", u"дт", u"СУСЛИКУ")
self.assertInflected(u"СУСЛИКИ", u"дт", u"СУСЛИКАМ")
self.assertInflected(u"СУСЛИКОВ", u"дт", u"СУСЛИКАМ")
self.assertInflected(u"СУСЛИКА", u"дт", u"СУСЛИКУ")
self.assertInflected(u"СУСЛИК", u"мн,дт", u"СУСЛИКАМ")
def test_verbs(self):
self.assertInflected(u"ГУЛЯЮ", u"прш", u"ГУЛЯЛ")
self.assertInflected(u"ГУЛЯЛ", u"нст", u"ГУЛЯЮ")
def test_loc2(self):
self.assertInflected(u'ЛЕС', u'пр', u'ЛЕСЕ') # о лесе
self.assertInflected(u'ЛЕС', u'пр,2', u'ЛЕСУ') # в лесу
# о велосипеде
self.assertInflected(u'ВЕЛОСИПЕД', u'пр', u'ВЕЛОСИПЕДЕ')
# а тут второго предложного нет, в велосипеде
self.assertInflected(u'ВЕЛОСИПЕД', u'пр,2', u'ВЕЛОСИПЕДЕ')
def test_decline_bug(self):
self.assertInflected(u'ОРЕЛ', u'рд', u'ОРЛА')
def test_improper_guess(self):
self.assertInflected(u'ОСТРОВА', u'дт', u'ОСТРОВАМ')
def test_improper_guess2(self):
self.assertInflected(u'КИЕВ', u'пр', u'КИЕВЕ')
class TestPluralizeInflected(MorphTestCase):
def assertInflectedPlural(self, word, count, result, *args, **kwargs):
morphed_word = morph_ru.pluralize_inflected_ru(word, count, *args, **kwargs)
self.assertEqualRu(morphed_word, result)
def test_parrots(self):
self.assertInflectedPlural(u"ПОПУГАЙ", 1, u"ПОПУГАЙ")
self.assertInflectedPlural(u"ПОПУГАЙ", 2, u"ПОПУГАЯ")
self.assertInflectedPlural(u"ПОПУГАЙ", 3, u"ПОПУГАЯ")
self.assertInflectedPlural(u"ПОПУГАЙ", 4, u"ПОПУГАЯ")
self.assertInflectedPlural(u"ПОПУГАЙ", 5, u"ПОПУГАЕВ")
self.assertInflectedPlural(u"ПОПУГАЙ", 7, u"ПОПУГАЕВ")
self.assertInflectedPlural(u"ПОПУГАЙ", 9, u"ПОПУГАЕВ")
self.assertInflectedPlural(u"ПОПУГАЙ", 0, u"ПОПУГАЕВ")
self.assertInflectedPlural(u"ПОПУГАЙ", 10, u"ПОПУГАЕВ")
self.assertInflectedPlural(u"ПОПУГАЙ", 11, u"ПОПУГАЕВ")
self.assertInflectedPlural(u"ПОПУГАЙ", 12, u"ПОПУГАЕВ")
self.assertInflectedPlural(u"ПОПУГАЙ", 15, u"ПОПУГАЕВ")
self.assertInflectedPlural(u"ПОПУГАЙ", 19, u"ПОПУГАЕВ")
self.assertInflectedPlural(u"ПОПУГАЙ", 21, u"ПОПУГАЙ")
self.assertInflectedPlural(u"ПОПУГАЙ", 32, u"ПОПУГАЯ")
self.assertInflectedPlural(u"ПОПУГАЙ", 38, u"ПОПУГАЕВ")
self.assertInflectedPlural(u"ПОПУГАЙ", 232, u"ПОПУГАЯ")
self.assertInflectedPlural(u"ПОПУГАЙ", 111, u"ПОПУГАЕВ")
self.assertInflectedPlural(u"ПОПУГАЙ", 101, u"ПОПУГАЙ")
def test_butyavka(self):
self.assertInflectedPlural(u"БУТЯВКА", 1, u"БУТЯВКА")
self.assertInflectedPlural(u"БУТЯВКА", 2, u"БУТЯВКИ")
self.assertInflectedPlural(u"БУТЯВКА", 5, u"БУТЯВОК")
def test_adjective(self):
self.assertInflectedPlural(u'АКТИВНЫЙ', 1, u'АКТИВНЫЙ')
self.assertInflectedPlural(u'АКТИВНЫЙ', 2, u'АКТИВНЫХ')
self.assertInflectedPlural(u'АКТИВНЫЙ', 5, u'АКТИВНЫХ')
self.assertInflectedPlural(u'АКТИВНАЯ', 1, u'АКТИВНАЯ')
self.assertInflectedPlural(u'АКТИВНАЯ', 2, u'АКТИВНЫХ')
self.assertInflectedPlural(u'АКТИВНАЯ', 5, u'АКТИВНЫХ')
def test_gerund(self):
self.assertInflectedPlural(u'ИДУЩИЙ', 1, u'ИДУЩИЙ')
self.assertInflectedPlural(u'ИДУЩИЙ', 2, u'ИДУЩИХ')
self.assertInflectedPlural(u'ИДУЩИЙ', 5, u'ИДУЩИХ')
if __name__ == '__main__':
unittest2.main()
| 39.4 | 84 | 0.673361 | 551 | 4,531 | 5.462795 | 0.255898 | 0.257475 | 0.267774 | 0.208306 | 0.434219 | 0.376744 | 0.069767 | 0 | 0 | 0 | 0 | 0.015714 | 0.18539 | 4,531 | 114 | 85 | 39.745614 | 0.799783 | 0.018539 | 0 | 0.02381 | 0 | 0 | 0.191355 | 0 | 0 | 0 | 0 | 0 | 0.702381 | 1 | 0.214286 | false | 0 | 0.02381 | 0 | 0.27381 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 |
222b4f84a5b8e378156cc0ca64b96a71596ce765 | 213 | py | Python | src/booking/views.py | M-Whitaker/DjangoBooking | 919c075822e157be1245663d2aa299a80350ab71 | [
"MIT"
] | null | null | null | src/booking/views.py | M-Whitaker/DjangoBooking | 919c075822e157be1245663d2aa299a80350ab71 | [
"MIT"
] | null | null | null | src/booking/views.py | M-Whitaker/DjangoBooking | 919c075822e157be1245663d2aa299a80350ab71 | [
"MIT"
] | null | null | null | from django.views.generic import View
from django.shortcuts import render
class BookingHome(View):
def get(self, request, *args, **kwargs):
return render(request, "booking/booking.html", context={})
| 26.625 | 66 | 0.723005 | 27 | 213 | 5.703704 | 0.740741 | 0.12987 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.15493 | 213 | 7 | 67 | 30.428571 | 0.855556 | 0 | 0 | 0 | 0 | 0 | 0.093897 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.2 | false | 0 | 0.4 | 0.2 | 1 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 5 |
2246b6bfb2c808105dd8718e88add151d9312ad8 | 197 | py | Python | main/admin.py | Four-Velocity/jb_test | 7ab9734c07b48595d1670a82cf87cdaef8cbdb3a | [
"Unlicense"
] | 1 | 2021-04-13T18:41:36.000Z | 2021-04-13T18:41:36.000Z | main/admin.py | Four-Velocity/jb_test | 7ab9734c07b48595d1670a82cf87cdaef8cbdb3a | [
"Unlicense"
] | 6 | 2021-03-19T04:16:39.000Z | 2021-09-08T02:08:29.000Z | main/admin.py | Four-Velocity/jb_test | 7ab9734c07b48595d1670a82cf87cdaef8cbdb3a | [
"Unlicense"
] | null | null | null | from django.contrib import admin
from .models import CustomUser, Profile, Code
admin.site.register(CustomUser)
admin.site.register(Profile)
admin.site.register(Code)
# Register your models here.
| 21.888889 | 45 | 0.807107 | 27 | 197 | 5.888889 | 0.481481 | 0.169811 | 0.320755 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.101523 | 197 | 8 | 46 | 24.625 | 0.898305 | 0.13198 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.4 | 0 | 0.4 | 0 | 1 | 0 | 0 | null | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 5 |
224d43113d24f4f33267895fa2dd5383f5e877de | 167 | py | Python | dof_discord_bot/src/__init__.py | TheCodeSummoner/dof-discord-bot | d2003fd0ef8e6491416585be18601e7f35a12106 | [
"MIT"
] | 2 | 2020-07-13T14:49:10.000Z | 2020-09-16T16:20:02.000Z | dof_discord_bot/src/__init__.py | TheCodeSummoner/dof-discord-bot | d2003fd0ef8e6491416585be18601e7f35a12106 | [
"MIT"
] | 51 | 2020-04-04T12:41:27.000Z | 2020-09-25T12:28:30.000Z | dof_discord_bot/src/__init__.py | TheCodeSummoner/dof-discord-bot | d2003fd0ef8e6491416585be18601e7f35a12106 | [
"MIT"
] | null | null | null | """
Source code package exposing everything to the higher package level.
"""
from .bot import Bot
from .constants import *
from .strings import *
from .utils import *
| 20.875 | 68 | 0.748503 | 23 | 167 | 5.434783 | 0.652174 | 0.16 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.167665 | 167 | 7 | 69 | 23.857143 | 0.899281 | 0.407186 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 5 |
225a260fd2d15d3515adb4e0cdd80192be65451e | 2,437 | py | Python | edb/schema/_types.py | aaronbrighton/edgedb | 4aacd1d4e248ae0d483c075ba93fc462da291ef4 | [
"Apache-2.0"
] | 1 | 2019-11-14T07:08:55.000Z | 2019-11-14T07:08:55.000Z | edb/schema/_types.py | aaronbrighton/edgedb | 4aacd1d4e248ae0d483c075ba93fc462da291ef4 | [
"Apache-2.0"
] | null | null | null | edb/schema/_types.py | aaronbrighton/edgedb | 4aacd1d4e248ae0d483c075ba93fc462da291ef4 | [
"Apache-2.0"
] | null | null | null | # AUTOGENERATED FROM "edb/api/types.txt" WITH
# $ edb gen-types
from __future__ import annotations
from typing import * # NoQA
import uuid
from edb.common import uuidgen
from edb.schema import name as sn
UUID: Type[uuid.UUID] = uuidgen.UUID
TYPE_IDS = {
sn.name_from_string('anytype'):
UUID('00000000-0000-0000-0000-000000000001'),
sn.name_from_string('anytuple'):
UUID('00000000-0000-0000-0000-000000000002'),
sn.name_from_string('std'):
UUID('00000000-0000-0000-0000-0000000000f0'),
sn.name_from_string('empty-tuple'):
UUID('00000000-0000-0000-0000-0000000000ff'),
sn.name_from_string('std::uuid'):
UUID('00000000-0000-0000-0000-000000000100'),
sn.name_from_string('std::str'):
UUID('00000000-0000-0000-0000-000000000101'),
sn.name_from_string('std::bytes'):
UUID('00000000-0000-0000-0000-000000000102'),
sn.name_from_string('std::int16'):
UUID('00000000-0000-0000-0000-000000000103'),
sn.name_from_string('std::int32'):
UUID('00000000-0000-0000-0000-000000000104'),
sn.name_from_string('std::int64'):
UUID('00000000-0000-0000-0000-000000000105'),
sn.name_from_string('std::float32'):
UUID('00000000-0000-0000-0000-000000000106'),
sn.name_from_string('std::float64'):
UUID('00000000-0000-0000-0000-000000000107'),
sn.name_from_string('std::decimal'):
UUID('00000000-0000-0000-0000-000000000108'),
sn.name_from_string('std::bool'):
UUID('00000000-0000-0000-0000-000000000109'),
sn.name_from_string('std::datetime'):
UUID('00000000-0000-0000-0000-00000000010a'),
sn.name_from_string('std::duration'):
UUID('00000000-0000-0000-0000-00000000010e'),
sn.name_from_string('std::json'):
UUID('00000000-0000-0000-0000-00000000010f'),
sn.name_from_string('std::bigint'):
UUID('00000000-0000-0000-0000-000000000110'),
sn.name_from_string('cal::local_datetime'):
UUID('00000000-0000-0000-0000-00000000010b'),
sn.name_from_string('cal::local_date'):
UUID('00000000-0000-0000-0000-00000000010c'),
sn.name_from_string('cal::local_time'):
UUID('00000000-0000-0000-0000-00000000010d'),
sn.name_from_string('cal::relative_duration'):
UUID('00000000-0000-0000-0000-000000000111'),
sn.name_from_string('cfg::memory'):
UUID('00000000-0000-0000-0000-000000000130'),
}
| 36.924242 | 53 | 0.679934 | 317 | 2,437 | 5.053628 | 0.230284 | 0.229713 | 0.143571 | 0.229713 | 0.601748 | 0.153558 | 0 | 0 | 0 | 0 | 0 | 0.357247 | 0.153467 | 2,437 | 65 | 54 | 37.492308 | 0.419292 | 0.027493 | 0 | 0 | 1 | 0 | 0.459425 | 0.359256 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.092593 | 0 | 0.092593 | 0 | 0 | 0 | 0 | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 |
226711500ef15a01b408ddb09cee5cb35cc7c330 | 70 | py | Python | website/pages/admin.py | TechTucson/ws-kevinharper | 463b155ad8ac2747916100f5ac1c32c8c3ae2ca3 | [
"MIT"
] | null | null | null | website/pages/admin.py | TechTucson/ws-kevinharper | 463b155ad8ac2747916100f5ac1c32c8c3ae2ca3 | [
"MIT"
] | null | null | null | website/pages/admin.py | TechTucson/ws-kevinharper | 463b155ad8ac2747916100f5ac1c32c8c3ae2ca3 | [
"MIT"
] | null | null | null | from django.contrib import admin # NOQA
# Register your models here.
| 17.5 | 39 | 0.771429 | 10 | 70 | 5.4 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.171429 | 70 | 3 | 40 | 23.333333 | 0.931034 | 0.442857 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 5 |
226b0de03a0ec417f139a71b03b4b66460ac829b | 40 | py | Python | src/main/python/janusgraph_python/core/schema/index/__init__.py | debasishdebs/janusgraph-py | c827e56e0dd175bad9324e2835516a4d4e92d47d | [
"ECL-2.0",
"Apache-2.0"
] | 2 | 2019-09-11T16:46:55.000Z | 2020-05-22T01:04:23.000Z | src/main/python/janusgraph_python/core/schema/index/__init__.py | debasishdebs/janusgraph-py | c827e56e0dd175bad9324e2835516a4d4e92d47d | [
"ECL-2.0",
"Apache-2.0"
] | 14 | 2018-09-09T19:37:40.000Z | 2019-05-07T22:05:26.000Z | src/main/python/janusgraph_python/core/schema/index/__init__.py | debasishdebs/janusgraph-py | c827e56e0dd175bad9324e2835516a4d4e92d47d | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | # Name: Debasish Kanhar
# Emp ID: 05222V | 20 | 23 | 0.725 | 6 | 40 | 4.833333 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.151515 | 0.175 | 40 | 2 | 24 | 20 | 0.727273 | 0.9 | 0 | null | 0 | null | 0 | 0 | null | 0 | 0 | 0 | null | 1 | null | true | 0 | 0 | null | null | null | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 |
22741392b18c94ef616b9df18698a83f7f346dc4 | 6,928 | py | Python | swig/gen/disp-custom.py | Cam2337/snap-python | 0bf722b461f8b5aae3ecb2757313521e9e9e76f1 | [
"BSD-3-Clause"
] | 242 | 2015-01-01T08:40:28.000Z | 2022-03-18T05:22:09.000Z | swig/gen/disp-custom.py | Cam2337/snap-python | 0bf722b461f8b5aae3ecb2757313521e9e9e76f1 | [
"BSD-3-Clause"
] | 99 | 2015-01-24T07:55:27.000Z | 2021-10-30T18:20:13.000Z | swig/gen/disp-custom.py | Cam2337/snap-python | 0bf722b461f8b5aae3ecb2757313521e9e9e76f1 | [
"BSD-3-Clause"
] | 105 | 2015-03-03T06:45:17.000Z | 2022-02-24T15:52:40.000Z | def ConvertGraph(toutspec, tinspec, *args):
if toutspec == PUNGraph:
if type(tinspec) == PUNGraph:
return ConvertGraph_PUNGraph_PUNGraph(tinspec, *args)
if type(tinspec) == PNGraph:
return ConvertGraph_PUNGraph_PNGraph(tinspec, *args)
if type(tinspec) == PNEANet:
return ConvertGraph_PUNGraph_PNEANet(tinspec, *args)
if type(tinspec) == PNGraphMP:
return ConvertGraph_PUNGraph_PNGraphMP(tinspec, *args)
raise TypeError('Second argument has invalid type')
if toutspec == PNGraph:
if type(tinspec) == PUNGraph:
return ConvertGraph_PNGraph_PUNGraph(tinspec, *args)
if type(tinspec) == PNGraph:
return ConvertGraph_PNGraph_PNGraph(tinspec, *args)
if type(tinspec) == PNEANet:
return ConvertGraph_PNGraph_PNEANet(tinspec, *args)
if type(tinspec) == PNGraphMP:
return ConvertGraph_PNGraph_PNGraphMP(tinspec, *args)
raise TypeError('Second argument has invalid type')
if toutspec == PNEANet:
if type(tinspec) == PUNGraph:
return ConvertGraph_PNEANet_PUNGraph(tinspec, *args)
if type(tinspec) == PNGraph:
return ConvertGraph_PNEANet_PNGraph(tinspec, *args)
if type(tinspec) == PNEANet:
return ConvertGraph_PNEANet_PNEANet(tinspec, *args)
if type(tinspec) == PNGraphMP:
return ConvertGraph_PNEANet_PNGraphMP(tinspec, *args)
raise TypeError('Second argument has invalid type')
if toutspec == PNGraphMP:
if type(tinspec) == PUNGraph:
return ConvertGraph_PNGraphMP_PUNGraph(tinspec, *args)
if type(tinspec) == PNGraph:
return ConvertGraph_PNGraphMP_PNGraph(tinspec, *args)
if type(tinspec) == PNEANet:
return ConvertGraph_PNGraphMP_PNEANet(tinspec, *args)
if type(tinspec) == PNGraphMP:
return ConvertGraph_PNGraphMP_PNGraphMP(tinspec, *args)
raise TypeError('Second argument has invalid type')
raise TypeError('First argument has invalid type')
def ConvertSubGraph(toutspec, tinspec, *args):
if toutspec == PUNGraph:
if type(tinspec) == PUNGraph:
return ConvertSubGraph_PUNGraph_PUNGraph(tinspec, *args)
if type(tinspec) == PNGraph:
return ConvertSubGraph_PUNGraph_PNGraph(tinspec, *args)
if type(tinspec) == PNEANet:
return ConvertSubGraph_PUNGraph_PNEANet(tinspec, *args)
if type(tinspec) == PNGraphMP:
return ConvertSubGraph_PUNGraph_PNGraphMP(tinspec, *args)
raise TypeError('Second argument has invalid type')
if toutspec == PNGraph:
if type(tinspec) == PUNGraph:
return ConvertSubGraph_PNGraph_PUNGraph(tinspec, *args)
if type(tinspec) == PNGraph:
return ConvertSubGraph_PNGraph_PNGraph(tinspec, *args)
if type(tinspec) == PNEANet:
return ConvertSubGraph_PNGraph_PNEANet(tinspec, *args)
if type(tinspec) == PNGraphMP:
return ConvertSubGraph_PNGraph_PNGraphMP(tinspec, *args)
raise TypeError('Second argument has invalid type')
if toutspec == PNEANet:
if type(tinspec) == PUNGraph:
return ConvertSubGraph_PNEANet_PUNGraph(tinspec, *args)
if type(tinspec) == PNGraph:
return ConvertSubGraph_PNEANet_PNGraph(tinspec, *args)
if type(tinspec) == PNEANet:
return ConvertSubGraph_PNEANet_PNEANet(tinspec, *args)
if type(tinspec) == PNGraphMP:
return ConvertSubGraph_PNEANet_PNGraphMP(tinspec, *args)
raise TypeError('Second argument has invalid type')
if toutspec == PNGraphMP:
if type(tinspec) == PUNGraph:
return ConvertSubGraph_PNGraphMP_PUNGraph(tinspec, *args)
if type(tinspec) == PNGraph:
return ConvertSubGraph_PNGraphMP_PNGraph(tinspec, *args)
if type(tinspec) == PNEANet:
return ConvertSubGraph_PNGraphMP_PNEANet(tinspec, *args)
if type(tinspec) == PNGraphMP:
return ConvertSubGraph_PNGraphMP_PNGraphMP(tinspec, *args)
raise TypeError('Second argument has invalid type')
raise TypeError('First argument has invalid type')
def ConvertESubGraph(toutspec, tinspec, *args):
if toutspec == PUNGraph:
if type(tinspec) == PUNGraph:
return ConvertESubGraph_PUNGraph_PUNGraph(tinspec, *args)
if type(tinspec) == PNGraph:
return ConvertESubGraph_PUNGraph_PNGraph(tinspec, *args)
if type(tinspec) == PNEANet:
return ConvertESubGraph_PUNGraph_PNEANet(tinspec, *args)
if type(tinspec) == PNGraphMP:
return ConvertESubGraph_PUNGraph_PNGraphMP(tinspec, *args)
raise TypeError('Second argument has invalid type')
if toutspec == PNGraph:
if type(tinspec) == PUNGraph:
return ConvertESubGraph_PNGraph_PUNGraph(tinspec, *args)
if type(tinspec) == PNGraph:
return ConvertESubGraph_PNGraph_PNGraph(tinspec, *args)
if type(tinspec) == PNEANet:
return ConvertESubGraph_PNGraph_PNEANet(tinspec, *args)
if type(tinspec) == PNGraphMP:
return ConvertESubGraph_PNGraph_PNGraphMP(tinspec, *args)
raise TypeError('Second argument has invalid type')
if toutspec == PNEANet:
if type(tinspec) == PUNGraph:
return ConvertESubGraph_PNEANet_PUNGraph(tinspec, *args)
if type(tinspec) == PNGraph:
return ConvertESubGraph_PNEANet_PNGraph(tinspec, *args)
if type(tinspec) == PNEANet:
return ConvertESubGraph_PNEANet_PNEANet(tinspec, *args)
if type(tinspec) == PNGraphMP:
return ConvertESubGraph_PNEANet_PNGraphMP(tinspec, *args)
raise TypeError('Second argument has invalid type')
if toutspec == PNGraphMP:
if type(tinspec) == PUNGraph:
return ConvertESubGraph_PNGraphMP_PUNGraph(tinspec, *args)
if type(tinspec) == PNGraph:
return ConvertESubGraph_PNGraphMP_PNGraph(tinspec, *args)
if type(tinspec) == PNEANet:
return ConvertESubGraph_PNGraphMP_PNEANet(tinspec, *args)
if type(tinspec) == PNGraphMP:
return ConvertESubGraph_PNGraphMP_PNGraphMP(tinspec, *args)
raise TypeError('Second argument has invalid type')
raise TypeError('First argument has invalid type')
def ToNetwork(tspec, *args):
if tspec == PNEANet :
return ToNetwork_PNEANet(*args)
raise TypeError('First argument has invalid type')
def ToGraph(tspec, *args):
if tspec == PUNGraph:
return ToGraph_PUNGraph(*args)
if tspec == PNGraph:
return ToGraph_PNGraph(*args)
if tspec == PUndirNet:
return ToGraph_PUndirNet(*args)
if tspec == PDirNet:
return ToGraph_PDirNet(*args)
raise TypeError('First argument has invalid type')
| 48.788732 | 71 | 0.665993 | 693 | 6,928 | 6.512266 | 0.037518 | 0.124308 | 0.138267 | 0.135608 | 0.940173 | 0.940173 | 0.902061 | 0.902061 | 0.881454 | 0.346333 | 0 | 0 | 0.248268 | 6,928 | 141 | 72 | 49.134752 | 0.866551 | 0 | 0 | 0.55 | 0 | 0 | 0.077811 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.035714 | false | 0 | 0 | 0 | 0.414286 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 |
2276fce76b0f1ebf6720c39186aac4cbcc85a82b | 38,703 | py | Python | project1--Reversed Reversi/AI.py | y876680538/SUSTech-CS303-AI-projects | 0d145f68bff4c2232107119754d23cbaef91b560 | [
"MIT"
] | 2 | 2022-01-07T12:58:19.000Z | 2022-01-07T14:14:30.000Z | project1--Reversed Reversi/AI.py | y876680538/SUSTech-CS303-AI-projects | 0d145f68bff4c2232107119754d23cbaef91b560 | [
"MIT"
] | null | null | null | project1--Reversed Reversi/AI.py | y876680538/SUSTech-CS303-AI-projects | 0d145f68bff4c2232107119754d23cbaef91b560 | [
"MIT"
] | null | null | null | import numpy as np
import random
import time
from collections import deque
total_search = 0
COLOR_BLACK = -1
COLOR_WHITE = 1
COLOR_NONE = 0
random.seed(0)
max_time = 4.8
directions = [(1, 0), (0, 1), (-1, 0), (0, -1), (1, 1), (1, -1), (-1, 1), (-1, -1)]
corners = [(0, 0), (0, 7), (7, 7), (7, 0)]
neighbour = [(0, 2), (2, 0), (0, 5), (2, 7), (7, 5), (5, 7), (5, 0), (7, 2)]
dangers = [(0, 1), (1, 0), (0, 6), (1, 7), (7, 6), (6, 7), (6, 0), (7, 1)]
most_dangers = [(1, 1), (1, 6), (6, 6), (6, 1)]
nw_se = [(1, 1), (2, 2), (3, 3), (4, 4), (5, 5), (6, 6)]
ne_sw = [(6, 1), (5, 2), (4, 3), (3, 4), (2, 5), (1, 6)]
dr_three = [(0, 1)]
dangers_weight = 3
corners_weight = 15
frontier_weight = 15
mobility_weight = 25
parity_weight = 40
count_weight = 20
bo_weight = 1
weight = [22, 7]
maxN = 5
M = 100000000
board_weight = np.array([
[300, -65, 20, 15, 15, 20, -65, 300],
[-65, -25, 10, 8, 8, 10, -25, -65],
[20, 10, 9, 6, 6, 9, 15, 20],
[15, 8, 6, 3, 3, 6, 8, 15],
[15, 8, 6, 3, 3, 6, 8, 15],
[20, 10, 9, 2, 2, 9, 15, 20],
[-65, -25, 10, 8, 8, 10, -35, -65],
[300, -65, 20, 15, 15, 20, -65, 300]
])
can = []
time_start = 0
# don't change the class name
class AI(object):
# chessboard_size, color, time_out passed from agent
def __init__(self, chessboard_size, color, time_out):
self.chessboard_size = chessboard_size
# You are white or black
self.color = color
self.time_out = time_out
# You need add your decision into your candidate_list. System will get the end of your candidate_list as your decision .
self.candidate_list = []
self.board_list = []
# The input is current chessboard.
def go(self, chessboard):
global time_start
time_start = time.time()
# Clear candidate_list, must do this step
global can
global maxN
can = self.candidate_list
# self.candidate_list.clear()
global count_weight
# global frontier_weight
global mobility_weight
global bo_weight
stage = sum(sum(abs(chessboard)))
if stage < 10:
depth = 5
elif stage >= 25:
depth = 5
# bo_weight = 2
# frontier_weight = 25
# weight[0] = 100
# mobility_weight = 30
elif stage >= 46:
weight[0] = 14
depth = 7
maxN = 7
# count_weight = 20
mobility_weight = 25
# bo_weight = 4
# mobility_weight = -200
elif stage >= 36:
# count_weight = 100
# count_weight = 20
# bo_weight = 3
# mobility_weight = 50
depth = 6
mobility_weight = 20
else:
maxN = 6
depth = 6
self.candidate_list, t = get_candidates(chessboard, self.color)
#
# if len(t) >= 12:
# depth = depth - 2
# elif len(t) >= 8:
# depth = depth - 1
# elif len(t) <= 2:
# depth = depth + 1
# elif len(t) <= 3:
# depth = depth + 1
# # elif len(t) <= 3:
# # depth = depth + 1
# if stage >= 53:
# depth = 64 - stage + 1
# # weight[0] = 3
# maxN = depth
# maxN = depth - 1
# alpha_beta1(self.candidate_list, chessboard, 6, self.color, self.color, True, -M, M, 6)
# max_score = -100000
# if len(t) > 0:
# best = self.candidate_list[0]
# for i in range(len(t)):
# score = cal_score(t[i], self.color, len(t))
# if score != -100000 and score > max_score:
# self.candidate_list.append(self.candidate_list[i])
# max_score = score
# if len(t) > 0 and max_score != 0:
# best = self.candidate_list[0]
# max_score = -100000
# depth=1
# for i in range(len(t)):
# score = pvs(t[i], self.color, self.color, -100000, 100000, depth)
# if score != -100000 and score > max_score:
# best = self.candidate_list[i]
# max_score = score
# if len(t) > 0:
# self.candidate_list.append(best)
depth = 1
while time.time() - time_start < max_time - 0.2 and depth < 30:
depth += 1
if time.time() - time_start < random.random() / 1.5:
depth += 1
maxN = depth + 1
if len(self.candidate_list) != 0:
time_temp = time.time()
# v, ans = alphabeta(chessboard, depth, -M, M, self.color, self.color, depth)
v, ans = pvs(chessboard, -M, M, depth, self.color, self.color, depth)
if time.time() - time_start < max_time:
print(
f"when depth={depth}，time cost {time.time() - time_temp}, total time {time.time() - time_start} pvs")
self.candidate_list.append(ans)
print(f"search depth: {depth - 1}")
# global total_search
# print(f"total_search:{total_search}")
# total_search = 0
# if len(self.candidate_list) != 0:
# v, ans = alphabeta(chessboard, 3, -M, M, self.color, self.color, depth)
# if 8 > ans[0] >= 0 and 8 > ans[1] >= 0:
# self.candidate_list.append(ans)
# time_end = time.time()
# print(time_end - time_start)
# if len(self.candidate_list) != 0:
# v, ans = alphabeta(chessboard, depth, -M, M, self.color, self.color, depth)
# if 8 > ans[0] >= 0 and 8 > ans[1] >= 0:
# self.candidate_list.append(ans)
# time_end = time.time()
# if time_end - time_start < 1:
# if len(self.candidate_list) != 0:
# v, ans = alphabeta(chessboard, depth + 1, -M, M, self.color, self.color, depth + 1)
# if 8 > ans[0] >= 0 and 8 > ans[1] >= 0:
# self.candidate_list.append(ans)
# print(f"depth={depth}")
# time_end = time.time()
print(time.time() - time_start)
# self.color=-self.color
# ==================================================================
# Write your algorithm here
# Here is the simplest sample:Random decision
# self.candidate_list=moves[0]
# ==============Find new pos========================================
# Make sure that the position of your decision in chess board is empty.
# If not, the system will return error.
# Add your decision into candidate_list, Records the chess board
# You need add all the positions which is valid
# candiidate_list example: [(3,3),(4,4)]
# You need append your decision at the end of the candiidate_list,
# we will choice the last element of the candidate_list as the position you choose
# If there is no valid position, you must return an empty list.
def get_candidates(chessboard, color):
global total_search
time1 = time.time()
candidate_list = []
moves = []
for i in range(8):
for j in range(8):
if chessboard[i][j] == 0:
temp = chessboard.copy()
if place_chess(temp, color, i, j):
candidate_list.append(temp)
moves.append((i, j))
total_search += time.time() - time1
return moves, candidate_list
def place_chess(board, color, x, y):
flag = False
board[x][y] = color
for i in range(8):
tx = x + directions[i][0]
ty = y + directions[i][1]
while 8 > tx >= 0 and 8 > ty >= 0 and board[tx][ty] == -color:
tx += directions[i][0]
ty += directions[i][1]
if 8 > tx >= 0 and 8 > ty >= 0 and board[tx][ty] == color:
tx -= directions[i][0]
ty -= directions[i][1]
while tx != x or ty != y:
board[tx][ty] = color
tx -= directions[i][0]
ty -= directions[i][1]
flag = True
return flag
outer_danger = [()]
def evaluation_stable(chessboard, color):
score = 0
stable = np.zeros([8, 8], dtype=np.int8)
stable_points_number = 0
stage = sum(sum(abs(chessboard)))
for cn in corners:
if chessboard[cn] == 0:
for j in range(len(most_dangers)):
score -= dangers_weight * (
chessboard[dangers[2 * j][0]][dangers[2 * j][1]] +
chessboard[dangers[2 * j + 1][0]][dangers[2 * j + 1][1]]
+ 0.5 * chessboard[most_dangers[j][0]][most_dangers[j][1]]
)
else:
score += corners_weight * chessboard[cn[0]][cn[1]]
stable_points_number += chessboard[cn[0]][cn[1]]
stable[cn[0]][cn[1]] = True
for i in range(8):
if chessboard[dangers[i]] == 0:
score -= dangers_weight * chessboard[neighbour[i]]
direction = [(0, 1), (0, -1), (1, 0), (-1, 0), (0, -1), (0, 1), (-1, 0), (1, 0)]
four_dir = [(0, -1), (-1, -1), (-1, 0), (-1, 1)]
corners_temp = [(0, 0), (0, 7), (0, 7), (7, 7), (7, 7), (7, 0), (7, 0), (0, 0)]
if stage >= 35:
for i in range(4): ##搜索顶点出发四个边界的稳定子
x = corners_temp[2 * i][0]
y = corners_temp[2 * i][1]
corner_color = chessboard[x][y]
flag = False
temp = 0
for j in range(1, 7):
same = True
tx = x + j * direction[2 * i][0]
ty = y + j * direction[2 * i][1]
t = chessboard[tx][ty]
if t == 0:
break
elif same and t == corner_color:
stable_points_number += t
stable[tx][ty] = True
else:
same = False
temp += t
if j == 6:
flag = True
if not (flag and chessboard[corners_temp[2 * i + 1][0]][corners_temp[2 * i + 1][1]] != 0):
x = corners_temp[2 * i + 1][0]
y = corners_temp[2 * i + 1][1]
corner_color = chessboard[x][y]
for j in range(1, 7):
same = True
temp = 0
tx = x + j * direction[2 * i + 1][0]
ty = y + j * direction[2 * i + 1][1]
t = chessboard[tx][ty]
if t == 0:
break
elif same and t == corner_color:
stable_points_number += t
stable[tx][ty] = True
else:
same = False
temp += t
else:
stable_points_number += temp
# if (x, y) == (0, 0):
# stable[0, :] = True
# elif (x, y) == (0, 7):
# stable[:, 7] = True
# elif (x, y) == (7, 7):
# stable[7, :] = True
# else:
# stable[:, 0] = True
# for p in range(1, 7):
# for q in range(1, 7):
# n = 0
# for d in four_dir:
# if stable[p + d[0]][q + d[1]] or stable[p - d[0]][q - d[1]]:
# n += 1
# if n == 4:
# stable[p, q] = True
# stable_points_number += chessboard[p][q]
return (stable_points_number * weight[0] / 2 + sum(sum(stable)) * weight[0] / 2 + score * weight[1]) * color
def stability(chessboard, now_color):
my_stability = 0
op_stability = 0
size = 8
steady_board = np.zeros((8, 8))
pq = deque([(0, 0), (7, 0), (0, 7), (7, 7)])
def check_steady(y, x):
if x < 0 or x >= 8 or y < 0 or y >= 8:
return 3
if abs(steady_board[y, x]) == 1:
return steady_board[y, x]
return 2
while pq:
y, x = pq.popleft()
if x < 0 or x >= size or y < 0 or y >= size:
continue
if steady_board[y, x] != 0:
continue
color = chessboard[y, x]
if color == 0:
steady_board[y, x] = 2
continue
for dy, dx in [(0, 1), (1, 1), (1, 0), (1, -1)]:
dir1 = check_steady(y + dy, x + dx)
dir2 = check_steady(y - dy, x - dx)
one_side_empty = dir1 == 3 or dir2 == 3
one_side_steady = dir1 == color or dir2 == color
two_side_enemy_steady = dir1 == -color and dir2 == -color
if not (one_side_empty or one_side_steady or two_side_enemy_steady):
steady_board[y, x] = 2
break
if steady_board[y, x] == 0:
steady_board[y, x] = color
if color == now_color:
my_stability += 1
if color == -now_color:
op_stability += 1
pq.extend([(y + 1, x), (y - 1, x), (y, x + 1), (y, x - 1)])
return 60 * (my_stability - op_stability) // (my_stability + op_stability + 1)
def frontiers(board):
num = 0
for m in range(1, 7):
for j in range(1, 7):
if board[m][j] == 0:
continue
else:
for d in directions:
tx = m + d[0]
ty = j + d[1]
if board[tx][ty] == 0:
num -= board[m][j]
break
return num
def cal_score(board, color, last_mobility):
stage = sum(sum(abs(board)))
stage2 = sum(sum(board))
score = 0
candidates, boards = get_candidates(board, -color)
if stage >= 25:
score += evaluation_stable(board, color)
parity = 0
# if corners in candidates:
# score -= 10
if stage > 46:
if stage % 2 == 0:
parity = -color
else:
parity = color
if abs(stage2) == stage:
score += color * 100 * stage2
if (last_mobility == 0 and len(candidates) == 0) or stage == 64:
if stage2 * color > 0:
return -10000000
elif stage2 == 0:
return 1000
else:
return 10000000
if candidates in dangers:
score += 40
for i in range(4):
if board[corners[i]] != color and board[most_dangers[i]] == color and board[dangers[2 * i]] == color and board[
dangers[2 * i + 1]] == color:
score -= 70
if board[neighbour[2 * i]] * board[neighbour[2 * i + 1]] == 0 and board[neighbour[2 * i]] == -color or \
board[neighbour[
2 * i + 1]] == -color:
score += 30
elif board[neighbour[2 * i]] == 0 and board[neighbour[2 * i + 1]] == 0:
score -= 10
else:
score -= 90
elif board[corners[i]] != color and board[dangers[2 * i]] == color and board[
dangers[2 * i + 1]] == color:
score -= 50
elif board[dangers[2 * i]] == -color or board[dangers[2 * i + 1]] == -color:
score += 20
# elif board[dangers[2 * i]] == -color and board[dangers[2 * i + 1]] == -color:
# score += 40
temp_dan = [(0, 1), (0, 6), (1, 7), (6, 7), (7, 6), (7, 1), (6, 0), (1, 0)]
if board[temp_dan[0]] != color and board[temp_dan[1]] != color:
score += sum(board[0, 1:6]) * color * 20
if board[temp_dan[2]] != color and board[temp_dan[3]] != color:
score += sum(board[1:6, 7]) * color * 20
if board[temp_dan[4]] != color and board[temp_dan[5]] != color:
score += sum(board[7, 1:6]) * color * 20
if board[temp_dan[6]] != color and board[temp_dan[7]] != color:
score += sum(board[1:6, 0]) * color * 20
if stage >= 30:
score += weight[0] * stability(board, color)
score += frontiers(board) * frontier_weight * color
score += stage2 * color * count_weight
score += parity * parity_weight * color
score -= (last_mobility - len(candidates)) * mobility_weight
score += sum(sum(board * board_weight)) * color * bo_weight
if last_mobility == 0:
score -= 300
return -score
def pvs(board, alpha, beta, depth, now_color, my_color, max_depth):
if time.time() - time_start > max_time:
return 0, (-1. - 1)
best_value = -M
best_move = []
moves, board_list = get_candidates(board, now_color)
if depth == 0:
return cal_score(board, now_color, len(moves)), []
if len(moves) == 0:
return cal_score(board, now_color, len(moves)), []
if depth >= max_depth - 2 and max_depth != 2 and max_depth != 3 and sum(sum(abs(board))) < 50:
new_moves = []
for i in range(len(board_list)):
move = moves[i]
chessboard = board_list[i]
value, best = alphabeta(board_list[i], 1, -M, M, -now_color, my_color, max_depth)
if (move == (1, 1) or move == (6, 6)) and chessboard[0, 0] != my_color and chessboard[
7, 7] != my_color:
for diag in nw_se:
if diag != move and board_list[i][diag] != my_color:
value += 20
break
elif (move == (1, 6) or move == (6, 1)) and chessboard[0, 7] != my_color and chessboard[
7, 0] != my_color:
for diag in ne_sw:
if diag != move and board_list[i][diag] != my_color:
value += 20
break
new_moves.append(value)
ind = np.argsort(new_moves)
moves = [moves[i] for i in ind[0:maxN]]
board_list = [board_list[i] for i in ind[0:maxN]]
for i in range(len(moves)):
now_board = board_list[i]
if best_value == -M:
score, move = pvs(now_board, - beta, -alpha, depth - 1, -now_color, my_color, max_depth)
score = -score
else:
score, move = pvs(now_board, -alpha - 1, -alpha, depth - 1, -now_color, my_color, max_depth)
score = -score
if alpha < score < beta:
alpha = score
score, move = pvs(now_board, -beta, -alpha, depth - 1, -now_color, my_color, max_depth)
score = -score
if score >= beta:
if time.time() - time_start > 4.9:
return 0, (-1. - 1)
else:
return score, moves[i]
if score > best_value:
best_value = score
best_move = moves[i]
if score > alpha:
alpha = score
if time.time() - time_start > 4.9:
return 0, (-1. - 1)
else:
return best_value, best_move
def alphabeta(board, depth, alpha, beta, now_color, my_color, max_depth):
if time.time() - time_start > max_time:
return 0, (-1. - 1)
moves, board_list = get_candidates(board, now_color)
if depth == 0:
return cal_score(board, now_color, len(moves)), []
if len(moves) == 0:
return cal_score(board, now_color, len(moves)), []
if depth >= max_depth - 2 and max_depth != 2 and max_depth != 3 and sum(sum(abs(board))) < 50:
new_moves = []
for i in range(len(board_list)):
move = moves[i]
chessboard = board_list[i]
value, best = alphabeta(board_list[i], 1, -M, M, -now_color, my_color, max_depth)
if (move == (1, 1) or move == (6, 6)) and chessboard[0, 0] != my_color and chessboard[
7, 7] != my_color:
for diag in nw_se:
if diag != move and board_list[i][diag] != my_color:
value += 20
break
elif (move == (1, 6) or move == (6, 1)) and chessboard[0, 7] != my_color and chessboard[
7, 0] != my_color:
for diag in ne_sw:
if diag != move and board_list[i][diag] != my_color:
value += 20
break
new_moves.append(value)
ind = np.argsort(new_moves)
moves = [moves[i] for i in ind[0:maxN]]
board_list = [board_list[i] for i in ind[0:maxN]]
best = []
max_score = -M
for i in range(len(board_list)):
score, t = alphabeta(board_list[i], depth - 1, -beta, -max(alpha, max_score), -now_color, my_color,
max_depth)
score = -score
if score > max_score:
max_score = score
best = moves[i]
if max_score > beta:
if time.time() - time_start > 4.9:
return 0, (-1. - 1)
else:
return max_score, best
if time.time() - time_start > 4.9:
return 0, (-1. - 1)
else:
return max_score, best
test5 = np.array([[[0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 1, -1, 0, 0, 0], [0, 0, 0, -1, -1, 0, 0, 0], [0, 0, 0, 0, -1, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0]],
[[0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 1, 1, 1, 0, 0], [0, 0, 0, -1, -1, 0, 0, 0], [0, 0, 0, 0, -1, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0]],
[[0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [0, 0, -1, 0, 0, 0, 0, 0],
[0, 0, 0, -1, 1, 1, 0, 0], [0, 0, 0, -1, -1, 0, 0, 0], [0, 0, 0, 0, -1, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0]],
[[0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [0, 0, -1, 0, 0, 0, 0, 0],
[0, 0, 0, -1, 1, 1, 0, 0], [0, 0, 0, -1, 1, 0, 0, 0], [0, 0, 0, 0, 1, 0, 0, 0],
[0, 0, 0, 0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0]],
[[0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [0, 0, -1, 0, 0, 0, 0, 0],
[0, 0, 0, -1, 1, 1, 0, 0], [0, 0, 0, -1, -1, -1, 0, 0], [0, 0, 0, 0, 1, 0, 0, 0],
[0, 0, 0, 0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0]],
[[0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [0, 0, -1, 0, 0, 0, 0, 0],
[0, 0, 1, 1, 1, 1, 0, 0], [0, 0, 0, 1, -1, -1, 0, 0], [0, 0, 0, 0, 1, 0, 0, 0],
[0, 0, 0, 0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0]],
[[0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [0, 0, -1, 0, 0, -1, 0, 0],
[0, 0, 1, 1, 1, -1, 0, 0], [0, 0, 0, 1, -1, -1, 0, 0], [0, 0, 0, 0, 1, 0, 0, 0],
[0, 0, 0, 0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0]],
[[0, 0, 0, 0, 0, 0, 0, 0], [0, 1, 0, 0, 0, 0, 0, 0], [0, 0, 1, 0, 0, -1, 0, 0],
[0, 0, 1, 1, 1, -1, 0, 0], [0, 0, 0, 1, -1, -1, 0, 0], [0, 0, 0, 0, 1, 0, 0, 0],
[0, 0, 0, 0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0]],
[[0, 0, 0, 0, 0, 0, 0, 0], [0, 1, 0, 0, 0, 0, 0, 0], [0, 0, 1, -1, 0, -1, 0, 0],
[0, 0, 1, 1, -1, -1, 0, 0], [0, 0, 0, 1, -1, -1, 0, 0], [0, 0, 0, 0, 1, 0, 0, 0],
[0, 0, 0, 0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0]],
[[0, 0, 0, 0, 0, 0, 0, 0], [0, 1, 0, 0, 0, 0, 0, 0], [0, 0, 1, -1, 0, -1, 0, 0],
[0, 0, 1, 1, -1, -1, 0, 0], [0, 0, 0, 1, 1, -1, 0, 0], [0, 0, 0, 0, 1, 1, 0, 0],
[0, 0, 0, 0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0]],
[[0, 0, 0, 0, 0, 0, 0, 0], [0, 1, 0, 0, 0, 0, 0, 0], [0, 0, 1, -1, 0, -1, 0, 0],
[0, 0, 1, -1, -1, -1, 0, 0], [0, 0, 0, -1, -1, -1, 0, 0], [0, 0, 0, -1, 1, 1, 0, 0],
[0, 0, 0, 0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0]],
[[0, 0, 0, 0, 0, 0, 0, 0], [0, 1, 0, 0, 0, 0, 0, 0], [0, 0, 1, -1, 0, -1, 0, 0],
[0, 0, 1, -1, -1, -1, 0, 0], [0, 0, 0, -1, -1, -1, 0, 0], [0, 0, 1, 1, 1, 1, 0, 0],
[0, 0, 0, 0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0]],
[[0, 0, 0, 0, 0, 0, 0, 0], [0, 1, 0, 0, 0, 0, 0, 0], [0, 0, 1, -1, 0, -1, 0, 0],
[0, 0, 1, -1, -1, -1, 0, 0], [0, 0, 0, -1, -1, -1, 0, 0], [0, 0, 1, 1, 1, -1, 0, 0],
[0, 0, 0, 0, 1, 0, -1, 0], [0, 0, 0, 0, 0, 0, 0, 0]],
[[0, 0, 0, 0, 0, 0, 0, 0], [0, 1, 0, 0, 0, 0, 0, 0], [0, 0, 1, -1, 0, -1, 1, 0],
[0, 0, 1, -1, -1, 1, 0, 0], [0, 0, 0, -1, 1, -1, 0, 0], [0, 0, 1, 1, 1, -1, 0, 0],
[0, 0, 0, 0, 1, 0, -1, 0], [0, 0, 0, 0, 0, 0, 0, 0]],
[[0, 0, 0, 0, 0, 0, 0, 0], [0, 1, 0, 0, 0, 0, 0, 0], [0, 0, 1, -1, 0, -1, 1, 0],
[0, 0, 1, -1, -1, -1, -1, 0], [0, 0, 0, -1, 1, -1, 0, 0], [0, 0, 1, 1, 1, -1, 0, 0],
[0, 0, 0, 0, 1, 0, -1, 0], [0, 0, 0, 0, 0, 0, 0, 0]],
[[0, 0, 0, 0, 0, 0, 0, 0], [0, 1, 0, 0, 0, 0, 0, 0], [0, 0, 1, -1, 0, -1, 1, 0],
[0, 0, 1, 1, 1, 1, 1, 1], [0, 0, 0, -1, 1, -1, 0, 0], [0, 0, 1, 1, 1, -1, 0, 0],
[0, 0, 0, 0, 1, 0, -1, 0], [0, 0, 0, 0, 0, 0, 0, 0]],
[[0, 0, 0, 0, 0, 0, 0, 0], [0, 1, 0, 0, 0, 0, 0, 0], [0, -1, -1, -1, 0, -1, 1, 0],
[0, 0, -1, 1, 1, 1, 1, 1], [0, 0, 0, -1, 1, -1, 0, 0], [0, 0, 1, 1, 1, -1, 0, 0],
[0, 0, 0, 0, 1, 0, -1, 0], [0, 0, 0, 0, 0, 0, 0, 0]],
[[0, 0, 0, 0, 0, 0, 0, 0], [0, 1, 0, 0, 0, 0, 0, 0], [0, -1, -1, -1, 0, -1, 1, 0],
[0, 0, -1, 1, 1, 1, 1, 1], [0, 0, 0, -1, 1, 1, 0, 0], [0, 0, 1, 1, 1, 1, 1, 0],
[0, 0, 0, 0, 1, 0, -1, 0], [0, 0, 0, 0, 0, 0, 0, 0]],
[[0, 0, 0, 0, 0, 0, 0, 0], [0, 1, 0, 0, 0, 0, 0, 0], [0, -1, -1, -1, 0, -1, 1, 0],
[0, 0, -1, 1, -1, 1, 1, 1], [0, 0, 0, -1, 1, -1, 0, 0], [0, 0, 1, 1, 1, 1, -1, 0],
[0, 0, 0, 0, 1, 0, -1, -1], [0, 0, 0, 0, 0, 0, 0, 0]],
[[0, 0, 0, 0, 0, 0, 0, 0], [0, 1, 0, 0, 0, 0, 0, 0], [0, -1, -1, -1, 0, -1, 1, 0],
[0, 0, -1, 1, -1, 1, 1, 1], [0, 0, 0, -1, 1, -1, 0, 0], [0, 0, 1, 1, 1, 1, 1, 1],
[0, 0, 0, 0, 1, 0, -1, -1], [0, 0, 0, 0, 0, 0, 0, 0]],
[[0, -1, 0, 0, 0, 0, 0, 0], [0, -1, 0, 0, 0, 0, 0, 0], [0, -1, -1, -1, 0, -1, 1, 0],
[0, 0, -1, 1, -1, 1, 1, 1], [0, 0, 0, -1, 1, -1, 0, 0], [0, 0, 1, 1, 1, 1, 1, 1],
[0, 0, 0, 0, 1, 0, -1, -1], [0, 0, 0, 0, 0, 0, 0, 0]],
[[0, -1, 0, 0, 0, 0, 0, 0], [0, -1, 0, 0, 0, 0, 0, 0], [0, -1, -1, -1, 0, -1, 1, 0],
[0, 0, -1, 1, -1, 1, 1, 1], [0, 0, 0, -1, 1, -1, 0, 0], [0, 0, 1, 1, 1, 1, 1, 1],
[0, 0, 0, 0, 1, 0, 1, -1], [0, 0, 0, 0, 0, 0, 1, 0]],
[[0, -1, 0, 0, 0, 0, 0, 0], [0, -1, 0, 0, 0, 0, 0, 0], [0, -1, -1, -1, 0, -1, 1, 0],
[0, 0, -1, 1, -1, 1, 1, 1], [0, 0, 0, -1, 1, -1, 0, 0], [0, 0, 1, 1, -1, -1, 1, 1],
[0, 0, 0, 0, 1, -1, -1, -1], [0, 0, 0, 0, 0, 0, 1, 0]],
[[0, -1, 0, 0, 0, 0, 0, 0], [0, -1, 0, 0, 0, 0, 0, 0], [0, -1, -1, -1, 0, -1, 1, 0],
[0, 0, -1, 1, -1, 1, 1, 1], [0, 0, 0, -1, 1, 1, 1, 0], [0, 0, 1, 1, -1, 1, 1, 1],
[0, 0, 0, 0, 1, -1, -1, -1], [0, 0, 0, 0, 0, 0, 1, 0]],
[[0, -1, 0, 0, 0, 0, 0, 0], [0, -1, 0, 0, 0, 0, 0, 0], [0, -1, -1, -1, 0, -1, 1, 0],
[0, 0, -1, 1, -1, 1, -1, 1], [0, 0, 0, -1, -1, -1, -1, -1], [0, 0, 1, 1, -1, 1, -1, -1],
[0, 0, 0, 0, 1, -1, -1, -1], [0, 0, 0, 0, 0, 0, 1, 0]],
[[0, -1, 0, 0, 0, 0, 0, 0], [0, -1, 0, 0, 0, 0, 0, 0], [0, -1, -1, -1, 1, 1, 1, 0],
[0, 0, -1, 1, 1, 1, -1, 1], [0, 0, 0, -1, 1, -1, -1, -1], [0, 0, 1, 1, 1, 1, -1, -1],
[0, 0, 0, 0, 1, -1, -1, -1], [0, 0, 0, 0, 0, 0, 1, 0]],
[[0, -1, 0, 0, 0, 0, 0, 0], [0, -1, 0, -1, 0, 0, 0, 0], [0, -1, -1, -1, -1, 1, 1, 0],
[0, 0, -1, 1, 1, -1, -1, 1], [0, 0, 0, -1, 1, -1, -1, -1], [0, 0, 1, 1, 1, 1, -1, -1],
[0, 0, 0, 0, 1, -1, -1, -1], [0, 0, 0, 0, 0, 0, 1, 0]],
[[0, -1, 0, 0, 0, 0, 0, 0], [0, -1, 0, -1, 0, 0, 0, 0], [0, -1, -1, -1, -1, 1, 1, 0],
[0, 0, -1, 1, 1, -1, -1, 1], [0, 0, 1, 1, 1, -1, -1, -1], [0, 0, 1, 1, 1, 1, -1, -1],
[0, 0, 0, 0, 1, -1, -1, -1], [0, 0, 0, 0, 0, 0, 1, 0]],
[[0, -1, 0, 0, 0, 0, 0, 0], [0, -1, 0, -1, 0, 0, 0, -1], [0, -1, -1, -1, -1, 1, -1, 0],
[0, 0, -1, 1, 1, -1, -1, 1], [0, 0, 1, 1, 1, -1, -1, -1], [0, 0, 1, 1, 1, 1, -1, -1],
[0, 0, 0, 0, 1, -1, -1, -1], [0, 0, 0, 0, 0, 0, 1, 0]],
[[0, -1, 0, 0, 0, 0, 0, 0], [0, -1, 0, -1, 1, 0, 0, -1], [0, -1, -1, -1, 1, 1, -1, 0],
[0, 0, -1, 1, 1, -1, -1, 1], [0, 0, 1, 1, 1, -1, -1, -1], [0, 0, 1, 1, 1, 1, -1, -1],
[0, 0, 0, 0, 1, -1, -1, -1], [0, 0, 0, 0, 0, 0, 1, 0]],
[[0, -1, 0, 0, 0, 0, 0, 0], [0, -1, 0, -1, 1, 0, 0, -1], [0, -1, -1, -1, 1, 1, -1, -1],
[0, 0, -1, 1, 1, -1, -1, -1], [0, 0, 1, 1, 1, -1, -1, -1], [0, 0, 1, 1, 1, 1, -1, -1],
[0, 0, 0, 0, 1, -1, -1, -1], [0, 0, 0, 0, 0, 0, 1, 0]],
[[0, -1, 0, 0, 0, 0, 0, 0], [0, -1, 0, -1, 1, 0, 0, -1], [0, -1, -1, -1, 1, 1, -1, -1],
[0, 0, -1, 1, 1, -1, -1, -1], [0, 0, 1, 1, 1, -1, -1, -1], [0, 0, 1, 1, 1, 1, -1, -1],
[0, 0, 0, 0, 1, 1, -1, -1], [0, 0, 0, 0, 0, 1, 1, 0]],
[[0, -1, 0, 0, 0, 0, 0, 0], [0, -1, 0, -1, 1, 0, 0, -1], [0, -1, -1, -1, 1, 1, -1, -1],
[0, 0, -1, 1, 1, -1, -1, -1], [0, 0, 1, 1, 1, -1, -1, -1], [0, 0, 1, 1, 1, 1, -1, -1],
[0, 0, 0, 0, 1, -1, -1, -1], [0, 0, 0, 0, -1, 1, 1, 0]],
[[0, -1, 0, 0, 0, 0, 0, 0], [0, -1, 0, -1, 1, 0, 0, -1], [0, -1, -1, -1, 1, 1, -1, -1],
[0, 0, -1, 1, 1, -1, -1, -1], [0, 0, 1, 1, 1, -1, -1, -1], [0, 0, 1, 1, 1, 1, -1, -1],
[0, 0, 0, 0, 1, -1, -1, -1], [0, 0, 0, 1, 1, 1, 1, 0]],
[[0, -1, 0, 0, 0, 0, 0, 0], [0, -1, 0, -1, 1, 0, 0, -1], [0, -1, -1, -1, 1, 1, -1, -1],
[0, 0, -1, -1, 1, -1, -1, -1], [0, 0, 1, -1, 1, -1, -1, -1], [0, 0, 1, -1, -1, 1, -1, -1],
[0, 0, 0, -1, -1, -1, -1, -1], [0, 0, 0, 1, 1, 1, 1, 0]],
[[0, -1, 0, 0, 0, 0, 0, 0], [1, -1, 0, -1, 1, 0, 0, -1], [0, 1, -1, -1, 1, 1, -1, -1],
[0, 0, 1, -1, 1, -1, -1, -1], [0, 0, 1, 1, 1, -1, -1, -1], [0, 0, 1, -1, 1, 1, -1, -1],
[0, 0, 0, -1, -1, 1, -1, -1], [0, 0, 0, 1, 1, 1, 1, 0]],
[[0, -1, 0, 0, 0, 0, 0, 0], [1, -1, 0, -1, 1, 0, 0, -1], [-1, -1, -1, -1, 1, 1, -1, -1],
[0, 0, 1, -1, 1, -1, -1, -1], [0, 0, 1, 1, 1, -1, -1, -1], [0, 0, 1, -1, 1, 1, -1, -1],
[0, 0, 0, -1, -1, 1, -1, -1], [0, 0, 0, 1, 1, 1, 1, 0]],
[[0, -1, 1, 0, 0, 0, 0, 0], [1, -1, 0, 1, 1, 0, 0, -1], [-1, -1, -1, -1, 1, 1, -1, -1],
[0, 0, 1, -1, 1, -1, -1, -1], [0, 0, 1, 1, 1, -1, -1, -1], [0, 0, 1, -1, 1, 1, -1, -1],
[0, 0, 0, -1, -1, 1, -1, -1], [0, 0, 0, 1, 1, 1, 1, 0]],
[[0, -1, 1, 0, 0, 0, 0, 0], [1, -1, 0, 1, 1, 0, 0, -1], [-1, -1, -1, -1, 1, 1, -1, -1],
[0, -1, -1, -1, 1, -1, -1, -1], [0, 0, -1, 1, 1, -1, -1, -1], [0, 0, 1, -1, 1, 1, -1, -1],
[0, 0, 0, -1, -1, 1, -1, -1], [0, 0, 0, 1, 1, 1, 1, 0]],
[[0, -1, 1, 0, 0, 0, 0, 0], [1, -1, 0, 1, 1, 0, 1, -1], [-1, -1, -1, -1, 1, 1, 1, -1],
[0, -1, -1, -1, 1, -1, 1, -1], [0, 0, -1, 1, 1, -1, 1, -1], [0, 0, 1, -1, 1, 1, 1, -1],
[0, 0, 0, -1, -1, 1, 1, -1], [0, 0, 0, 1, 1, 1, 1, 0]],
[[0, -1, 1, 0, 0, 0, 0, 0], [1, -1, 0, 1, 1, 0, 1, -1], [-1, -1, -1, -1, 1, 1, 1, -1],
[0, -1, -1, -1, 1, -1, 1, -1], [0, -1, -1, 1, 1, -1, 1, -1], [0, 0, -1, -1, 1, 1, 1, -1],
[0, 0, 0, -1, -1, 1, 1, -1], [0, 0, 0, 1, 1, 1, 1, 0]],
[[0, -1, 1, 0, 0, 0, 0, 0], [1, 1, 1, 1, 1, 0, 1, -1], [-1, -1, -1, 1, 1, 1, 1, -1],
[0, -1, -1, -1, 1, -1, 1, -1], [0, -1, -1, 1, 1, -1, 1, -1], [0, 0, -1, -1, 1, 1, 1, -1],
[0, 0, 0, -1, -1, 1, 1, -1], [0, 0, 0, 1, 1, 1, 1, 0]],
[[0, -1, 1, 0, -1, 0, 0, 0], [1, 1, 1, -1, -1, 0, 1, -1], [-1, -1, -1, 1, -1, 1, 1, -1],
[0, -1, -1, -1, -1, -1, 1, -1], [0, -1, -1, 1, -1, -1, 1, -1], [0, 0, -1, -1, -1, 1, 1, -1],
[0, 0, 0, -1, -1, 1, 1, -1], [0, 0, 0, 1, 1, 1, 1, 0]],
[[0, -1, 1, 0, -1, 0, 0, 0], [1, 1, 1, 1, 1, 1, 1, -1], [-1, -1, -1, 1, -1, 1, 1, -1],
[0, -1, -1, -1, -1, -1, 1, -1], [0, -1, -1, 1, -1, -1, 1, -1], [0, 0, -1, -1, -1, 1, 1, -1],
[0, 0, 0, -1, -1, 1, 1, -1], [0, 0, 0, 1, 1, 1, 1, 0]],
[[0, -1, -1, -1, -1, 0, 0, 0], [1, 1, -1, -1, -1, 1, 1, -1], [-1, -1, -1, -1, -1, -1, 1, -1],
[0, -1, -1, -1, -1, -1, -1, -1], [0, -1, -1, 1, -1, -1, 1, -1], [0, 0, -1, -1, -1, 1, 1, -1],
[0, 0, 0, -1, -1, 1, 1, -1], [0, 0, 0, 1, 1, 1, 1, 0]],
[[0, -1, -1, -1, -1, 0, 0, 0], [1, 1, -1, -1, -1, 1, 1, -1], [-1, -1, -1, -1, -1, -1, 1, -1],
[0, -1, -1, -1, -1, -1, -1, -1], [0, -1, -1, 1, -1, -1, 1, -1], [0, 0, 1, -1, -1, 1, 1, -1],
[0, 1, 0, -1, -1, 1, 1, -1], [0, 0, 0, 1, 1, 1, 1, 0]],
[[-1, -1, -1, -1, -1, 0, 0, 0], [-1, -1, -1, -1, -1, 1, 1, -1], [-1, -1, -1, -1, -1, -1, 1, -1],
[0, -1, -1, -1, -1, -1, -1, -1], [0, -1, -1, 1, -1, -1, 1, -1], [0, 0, 1, -1, -1, 1, 1, -1],
[0, 1, 0, -1, -1, 1, 1, -1], [0, 0, 0, 1, 1, 1, 1, 0]],
[[-1, -1, -1, -1, -1, 0, 0, 0], [-1, -1, -1, -1, -1, 1, 1, -1], [-1, -1, -1, -1, -1, -1, 1, -1],
[0, -1, -1, -1, -1, 1, -1, -1], [0, -1, -1, 1, 1, -1, 1, -1], [0, 0, 1, 1, -1, 1, 1, -1],
[0, 1, 1, 1, 1, 1, 1, -1], [0, 0, 0, 1, 1, 1, 1, 0]],
[[-1, -1, -1, -1, -1, 0, 0, -1], [-1, -1, -1, -1, -1, 1, -1, -1], [-1, -1, -1, -1, -1, -1, 1, -1],
[0, -1, -1, -1, -1, 1, -1, -1], [0, -1, -1, 1, 1, -1, 1, -1], [0, 0, 1, 1, -1, 1, 1, -1],
[0, 1, 1, 1, 1, 1, 1, -1], [0, 0, 0, 1, 1, 1, 1, 0]],
[[-1, -1, -1, -1, -1, 0, 0, -1], [-1, -1, -1, -1, -1, 1, -1, -1], [-1, -1, -1, -1, 1, -1, 1, -1],
[0, -1, -1, 1, -1, 1, -1, -1], [0, -1, 1, 1, 1, -1, 1, -1], [0, 1, 1, 1, -1, 1, 1, -1],
[0, 1, 1, 1, 1, 1, 1, -1], [0, 0, 0, 1, 1, 1, 1, 0]],
[[-1, -1, -1, -1, -1, 0, 0, -1], [-1, -1, -1, -1, -1, 1, -1, -1], [-1, -1, -1, -1, 1, -1, 1, -1],
[0, -1, -1, 1, -1, 1, -1, -1], [0, -1, 1, 1, 1, -1, 1, -1], [-1, -1, -1, -1, -1, 1, 1, -1],
[0, 1, 1, 1, 1, 1, 1, -1], [0, 0, 0, 1, 1, 1, 1, 0]],
[[-1, -1, -1, -1, -1, 0, 0, -1], [-1, -1, -1, -1, -1, 1, -1, -1], [-1, -1, -1, -1, 1, -1, 1, -1],
[0, -1, -1, 1, -1, 1, -1, -1], [0, -1, 1, 1, 1, -1, 1, -1], [-1, 1, -1, -1, -1, 1, 1, -1],
[1, 1, 1, 1, 1, 1, 1, -1], [0, 0, 0, 1, 1, 1, 1, 0]],
[[-1, -1, -1, -1, -1, 0, 0, -1], [-1, -1, -1, -1, -1, 1, -1, -1], [-1, -1, -1, -1, 1, -1, 1, -1],
[0, -1, -1, 1, -1, 1, -1, -1], [0, -1, 1, 1, 1, -1, 1, -1], [-1, 1, -1, -1, -1, 1, 1, -1],
[1, -1, -1, -1, 1, 1, 1, -1], [0, 0, -1, 1, 1, 1, 1, 0]],
[[-1, -1, -1, -1, -1, 0, 0, -1], [-1, -1, -1, -1, -1, 1, -1, -1], [-1, -1, -1, -1, 1, -1, 1, -1],
[0, -1, -1, 1, -1, 1, -1, -1], [0, -1, 1, 1, 1, -1, 1, -1], [-1, 1, -1, 1, -1, 1, 1, -1],
[1, 1, 1, -1, 1, 1, 1, -1], [0, 1, 1, 1, 1, 1, 1, 0]],
[[-1, -1, -1, -1, -1, -1, 0, -1], [-1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, 1, -1, 1, -1],
[0, -1, -1, 1, -1, 1, -1, -1], [0, -1, 1, 1, 1, -1, 1, -1], [-1, 1, -1, 1, -1, 1, 1, -1],
[1, 1, 1, -1, 1, 1, 1, -1], [0, 1, 1, 1, 1, 1, 1, 0]],
[[-1, -1, -1, -1, -1, -1, 1, -1], [-1, -1, -1, -1, -1, 1, 1, -1], [-1, -1, -1, -1, 1, -1, 1, -1],
[0, -1, -1, 1, -1, 1, -1, -1], [0, -1, 1, 1, 1, -1, 1, -1], [-1, 1, -1, 1, -1, 1, 1, -1],
[1, 1, 1, -1, 1, 1, 1, -1], [0, 1, 1, 1, 1, 1, 1, 0]],
[[-1, -1, -1, -1, -1, -1, 1, -1], [-1, -1, -1, -1, -1, 1, 1, -1], [-1, -1, -1, -1, 1, -1, 1, -1],
[0, -1, -1, 1, -1, 1, -1, -1], [0, -1, 1, 1, 1, -1, 1, -1], [-1, 1, -1, 1, -1, 1, 1, -1],
[-1, -1, 1, -1, 1, 1, 1, -1], [-1, 1, 1, 1, 1, 1, 1, 0]],
[[-1, -1, -1, -1, -1, -1, 1, -1], [-1, -1, -1, -1, -1, 1, 1, -1], [-1, -1, -1, -1, 1, -1, 1, -1],
[1, 1, 1, 1, -1, 1, -1, -1], [0, 1, 1, 1, 1, -1, 1, -1], [-1, 1, 1, 1, -1, 1, 1, -1],
[-1, -1, 1, 1, 1, 1, 1, -1], [-1, 1, 1, 1, 1, 1, 1, 0]],
[[-1, -1, -1, -1, -1, -1, 1, -1], [-1, -1, -1, -1, -1, 1, 1, -1], [-1, -1, -1, -1, 1, -1, 1, -1],
[-1, -1, 1, 1, -1, 1, -1, -1], [-1, -1, -1, -1, -1, -1, 1, -1], [-1, 1, 1, 1, -1, 1, 1, -1],
[-1, -1, 1, 1, 1, 1, 1, -1], [-1, 1, 1, 1, 1, 1, 1, 0]],
[[-1, -1, -1, -1, -1, -1, 1, -1], [-1, -1, -1, -1, -1, 1, 1, -1], [-1, -1, -1, -1, 1, -1, 1, -1],
[-1, -1, 1, 1, -1, 1, -1, -1], [-1, -1, -1, -1, -1, -1, 1, -1], [-1, 1, 1, 1, -1, -1, 1, -1],
[-1, -1, 1, 1, 1, 1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1]]])
if __name__ == '__main__':
# print(evaluation_stable(test2, 1))
# print(cal_score(test2, 1, 0))
# print(cal_score(test3, 1, 0))
ai = AI(8, -1, 5)
for i in range(60):
print(i)
ai.go(test5[i])
print(ai.candidate_list)
index = 45
ai.go(test5[index])
# print(len(test5))
t, l = get_candidates(test5[index], -1)
for i in range(len(l)):
print(t[i])
print(cal_score(l[i], -1, 1, test5[index]))
# print(pvs(test5[15], 1, 1, -M, M, 5))
# print(ai.candidate_list)
# # ai.go(test4)
print(ai.candidate_list)
# # print(alphabeta(test2, 6, -M, M, -1, -1, 6))
| 50.460235 | 128 | 0.367388 | 6,742 | 38,703 | 2.059478 | 0.037081 | 0.241268 | 0.288009 | 0.307958 | 0.609219 | 0.566151 | 0.522578 | 0.501548 | 0.484264 | 0.484264 | 0 | 0.201249 | 0.395809 | 38,703 | 766 | 129 | 50.52611 | 0.392533 | 0.104566 | 0 | 0.469115 | 0 | 0.001669 | 0.003765 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.018364 | false | 0 | 0.006678 | 0 | 0.070117 | 0.013356 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 |
97e2390a4a556253fb0af0930b21b8f5370f24d7 | 108 | py | Python | swine/input/empty_controller.py | DeflatedPickle/swine | 28b40fff605f7ed9c006e032c11a5ff9c552ebac | [
"MIT"
] | 4 | 2019-07-14T13:39:43.000Z | 2021-11-08T15:57:17.000Z | swine/input/empty_controller.py | SwineEngine/swine | 28b40fff605f7ed9c006e032c11a5ff9c552ebac | [
"MIT"
] | 1 | 2018-08-24T13:38:02.000Z | 2018-08-28T19:19:55.000Z | swine/input/empty_controller.py | SwineProject/swine | 28b40fff605f7ed9c006e032c11a5ff9c552ebac | [
"MIT"
] | 1 | 2018-07-22T20:53:10.000Z | 2018-07-22T20:53:10.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from enum import Enum
class EmptyController(Enum):
pass
| 13.5 | 28 | 0.657407 | 15 | 108 | 4.733333 | 0.866667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.011364 | 0.185185 | 108 | 7 | 29 | 15.428571 | 0.795455 | 0.388889 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0.333333 | 0.333333 | 0 | 0.666667 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 5 |
3f0f1a3cf32287464afc902d9dfe5200f221e6cc | 8,759 | py | Python | old/lib/test/players/mcts/mcts_test.py | feiooo/games-puzzles-algorithms | 66d97135d163fb04e820338068d9bd9e12d907e9 | [
"MIT"
] | null | null | null | old/lib/test/players/mcts/mcts_test.py | feiooo/games-puzzles-algorithms | 66d97135d163fb04e820338068d9bd9e12d907e9 | [
"MIT"
] | null | null | null | old/lib/test/players/mcts/mcts_test.py | feiooo/games-puzzles-algorithms | 66d97135d163fb04e820338068d9bd9e12d907e9 | [
"MIT"
] | null | null | null | from games_puzzles_algorithms.players.mcts.mcts_agent import MctsAgent
from games_puzzles_algorithms.players.mcts.mcts_agent import UctNode
from games_puzzles_algorithms.players.mcts.mcts_agent import BanditNode
from games_puzzles_algorithms.games.fake_game_state import FakeGameState
from games_puzzles_algorithms.debug import log
import random
def test_roll_out():
random.seed(0)
state = FakeGameState()
patient = MctsAgent(random, UctNode(1))
outcome = patient.roll_out(state, 0)
assert outcome['score'] == 2
outcome = patient.roll_out(state, 0)
assert outcome['score'] == -3
outcome = patient.roll_out(state, 0)
assert outcome['score'] == -3
outcome = patient.roll_out(state, 1)
assert outcome['score'] == -2
outcome = patient.roll_out(state, 1)
assert outcome['score'] == 3
outcome = patient.roll_out(state, 1)
assert outcome['score'] == 3
outcome = patient.roll_out(state, 1)
assert outcome['score'] == -2
def test_search_explore3():
random.seed(0)
state = FakeGameState()
patient = MctsAgent(random, UctNode(3))
num_iterations = 10
stats = patient.search(state, num_iterations=num_iterations)
assert stats['num_iterations_completed'] == 10
assert stats['time_used_s'] is not None
assert stats['num_nodes_expanded'] == 11
def test_search_explore2():
random.seed(0)
state = FakeGameState()
patient = MctsAgent(random, UctNode(2))
num_iterations = 10
stats = patient.search(state, num_iterations=num_iterations)
assert stats['num_iterations_completed'] == 10
assert stats['time_used_s'] is not None
assert stats['num_nodes_expanded'] == 9
def test_search_explore1():
random.seed(0)
state = FakeGameState()
patient = MctsAgent(random, UctNode(1))
num_iterations = 10
stats = patient.search(state, num_iterations=num_iterations)
assert stats['num_iterations_completed'] == 10
assert stats['time_used_s'] is not None
assert stats['num_nodes_expanded'] == 9
def test_child_nodes():
root = BanditNode()
assert root.child_nodes() == []
def test_expand():
root = BanditNode()
state = FakeGameState()
root.expand(state)
children = root.child_nodes()
assert len(children) == 2
assert children[0].action == 0
assert children[1].action == 1
assert children[0].parent == root
assert children[1].parent == root
def test_is_leaf():
root = BanditNode()
assert root.is_leaf()
state = FakeGameState()
root.expand(state)
assert not root.is_leaf()
def test_is_root():
root = BanditNode()
state = FakeGameState()
root.expand(state)
assert root.is_root()
for child in root.child_nodes():
assert not child.is_root()
def test_child_nodes():
root = BanditNode()
state = FakeGameState()
root.expand(state)
assert len(root.child_nodes()) == 2
for child in root.child_nodes():
assert len(child.child_nodes()) == 0
def test_num_nodes():
root = BanditNode()
state = FakeGameState()
root.expand(state)
assert root.num_nodes() == 3
for child in root.child_nodes():
assert child.num_nodes() == 1
def test_ucb_initial_explore():
root = BanditNode()
state = FakeGameState()
root.expand(state)
children = root.child_nodes()
for child in children:
assert BanditNode.ucb_value(child, 1) == float('inf')
def test_backup():
root = BanditNode()
state = FakeGameState()
root.expand(state)
children = root.child_nodes()
state.play(children[0].action)
children[0].expand(state)
children[0].child_nodes()[0].backup(-1)
assert children[0].child_nodes()[0].avg_reward() == -1
assert children[0].child_nodes()[1].avg_reward() == 0
assert children[0].avg_reward() == 1
assert len(children[1].child_nodes()) == 0
assert children[1].avg_reward() == 0
children[0].child_nodes()[1].backup(1)
assert children[0].child_nodes()[0].avg_reward() == -1
assert children[0].child_nodes()[1].avg_reward() == 1
assert children[0].avg_reward() == 0
assert len(children[1].child_nodes()) == 0
assert children[1].avg_reward() == 0
def test_backup_with_lcb():
root = BanditNode()
state = FakeGameState()
root.expand(state)
children = root.child_nodes()
state.play(children[0].action)
children[0].expand(state)
children[0].child_nodes()[0].backup(-1)
children[0].child_nodes()[1].backup(1)
assert BanditNode.lcb_value(children[0], 1) == -0.8325546111576977
assert BanditNode.lcb_value(children[0].child_nodes()[0], 1) == (
-2.177410022515475)
assert BanditNode.lcb_value(children[0].child_nodes()[1], 1) == (
-0.17741002251547466)
def test_backup_with_ucb():
root = BanditNode()
state = FakeGameState()
root.expand(state)
children = root.child_nodes()
state.play(children[0].action)
children[0].expand(state)
children[0].child_nodes()[0].backup(-1)
children[0].child_nodes()[1].backup(1)
assert BanditNode.ucb_value(children[0], 1) == 0.8325546111576977
assert BanditNode.ucb_value(children[0].child_nodes()[0], 1) == (
0.17741002251547466)
assert BanditNode.ucb_value(children[0].child_nodes()[1], 1) == (
2.177410022515475)
def test_backup_with_value():
root = BanditNode()
state = FakeGameState()
root.expand(state)
children = root.child_nodes()
state.play(children[0].action)
children[0].expand(state)
children[0].child_nodes()[0].backup(1)
assert children[0].value() == -1
assert children[1].value() == 0
assert children[0].child_nodes()[0].value() == 1
assert children[0].child_nodes()[1].value() == 0
children[0].child_nodes()[1].backup(-1)
assert children[0].value() == 0
assert children[0].child_nodes()[0].value() == 1
assert children[0].child_nodes()[1].value() == -1
def test_backup_with_ucb_explore():
root = UctNode(1)
state = FakeGameState()
root.expand(state)
children = root.child_nodes()
state.play(children[0].action)
children[0].expand(state)
children[0].child_nodes()[0].backup(1)
assert children[0].value() == -1
assert children[1].value() == float("inf")
assert children[0].child_nodes()[0].value() == 1
assert children[0].child_nodes()[1].value() == float("inf")
children[0].child_nodes()[1].backup(-1)
assert children[0].value() > 0
assert children[0].child_nodes()[0].value() > 1
assert children[0].child_nodes()[1].value() > -1
def test_favorite_child():
root = UctNode(1)
state = FakeGameState()
root.expand(state)
children = root.child_nodes()
children[0].backup(1)
children[1].backup(-1)
value_of_favorite = root.favorite_children()[0].value()
for child in children:
assert child.value() <= value_of_favorite
def test_info_strings_to_json():
root = BanditNode()
state = FakeGameState()
root.expand(state)
children = root.child_nodes()
children[0].backup(1)
children[1].backup(-1)
info = root.info_strings_to_dict()
assert info["info"] == "avg_reward: 0.0 num_visits: 2"
assert info["children"][0][
"info"] == "player: 0 action: 0 | avg_reward: 1.0 num_visits: 1"
assert info["children"][1][
"info"] == "player: 0 action: 1 | avg_reward: -1.0 num_visits: 1"
def test_info_strings_to_json_ucb():
root = UctNode(1)
state = FakeGameState()
root.expand(state)
children = root.child_nodes()
children[0].backup(1)
children[1].backup(-1)
info = root.info_strings_to_dict()
assert info[
"info"] == "avg_reward: 0.0 num_visits: 2 ucb_value: 0.8325546111576977"
assert info["children"][0][
"info"] == "player: 0 action: 0 | avg_reward: 1.0 num_visits: 1 ucb_value: 2.177410022515475"
assert info["children"][1][
"info"] == "player: 0 action: 1 | avg_reward: -1.0 num_visits: 1 ucb_value: 0.17741002251547466"
def test_str():
root = BanditNode()
state = FakeGameState()
assert str(root) == '{\n "info": "avg_reward: 0 num_visits: 0"\n}'
def test_verbose_search():
import json
import logging
logging.basicConfig(level=logging.DEBUG)
random.seed(0)
state = FakeGameState()
patient = MctsAgent(random, UctNode(1))
num_iterations = 2
stats = patient.search(state, num_iterations=num_iterations)
assert stats['num_iterations_completed'] == num_iterations
assert stats['time_used_s'] is not None
assert stats['num_nodes_expanded'] == 3
print(json.dumps({'statistics': stats, 'tree': patient.to_dict()},
sort_keys=True,
indent=4))
| 29.491582 | 104 | 0.661605 | 1,167 | 8,759 | 4.790917 | 0.084833 | 0.083706 | 0.065105 | 0.088356 | 0.804865 | 0.78215 | 0.756215 | 0.738687 | 0.696476 | 0.60508 | 0 | 0.052795 | 0.193401 | 8,759 | 296 | 105 | 29.591216 | 0.73857 | 0 | 0 | 0.630901 | 0 | 0.004292 | 0.083 | 0.01096 | 0 | 0 | 0 | 0 | 0.309013 | 1 | 0.090129 | false | 0 | 0.034335 | 0 | 0.124464 | 0.004292 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 |
3f6e462990d4fa0fd998b9fadf32b808cb9132f7 | 37 | py | Python | config.py | iwrinshow/voice-enabled-chatbot | d44e44364a433dc2ad2f866b38e78b65b375f7a7 | [
"MIT"
] | null | null | null | config.py | iwrinshow/voice-enabled-chatbot | d44e44364a433dc2ad2f866b38e78b65b375f7a7 | [
"MIT"
] | null | null | null | config.py | iwrinshow/voice-enabled-chatbot | d44e44364a433dc2ad2f866b38e78b65b375f7a7 | [
"MIT"
] | 1 | 2020-08-11T05:36:53.000Z | 2020-08-11T05:36:53.000Z | google_api_key =
weather_api_key =
| 12.333333 | 18 | 0.783784 | 6 | 37 | 4.166667 | 0.666667 | 0.48 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.162162 | 37 | 2 | 19 | 18.5 | 0.806452 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0 | null | null | 0 | 1 | 1 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 |
3f6f86fc779a5f9f08d315f016748547eb525217 | 25 | py | Python | dirstat/test/test.py | peter201943/misc-code | f7a50e1ca141a41b6b3e625dd2f20d72f3b288b0 | [
"CC0-1.0"
] | null | null | null | dirstat/test/test.py | peter201943/misc-code | f7a50e1ca141a41b6b3e625dd2f20d72f3b288b0 | [
"CC0-1.0"
] | null | null | null | dirstat/test/test.py | peter201943/misc-code | f7a50e1ca141a41b6b3e625dd2f20d72f3b288b0 | [
"CC0-1.0"
] | null | null | null |
# Test it works
| 2.272727 | 15 | 0.44 | 3 | 25 | 3.666667 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.52 | 25 | 10 | 16 | 2.5 | 0.916667 | 0.52 | 0 | null | 0 | null | 0 | 0 | null | 0 | 0 | 0 | null | 1 | null | true | 0 | 0 | null | null | null | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 |
58c510ceda8b2f25b1285d21e3746118fc48e9b3 | 36 | py | Python | app_routes/users/__init__.py | kskarbinski/threads-api | c144c1cb51422095922310d278f80e4996c10ea0 | [
"MIT"
] | null | null | null | app_routes/users/__init__.py | kskarbinski/threads-api | c144c1cb51422095922310d278f80e4996c10ea0 | [
"MIT"
] | null | null | null | app_routes/users/__init__.py | kskarbinski/threads-api | c144c1cb51422095922310d278f80e4996c10ea0 | [
"MIT"
] | null | null | null | from .users_route import UsersRoute
| 18 | 35 | 0.861111 | 5 | 36 | 6 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.111111 | 36 | 1 | 36 | 36 | 0.9375 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 5 |
58f1feb36c71271f8c3eb8cdf01613aa909873e1 | 210 | py | Python | mmdet/models/necks/__init__.py | Karybdis/mmdetection-mini | cf255db8037cfeecb7927268d018432f5771ab2e | [
"MIT"
] | 834 | 2020-09-08T08:00:04.000Z | 2022-03-29T01:25:55.000Z | mmdet/models/necks/__init__.py | dongdongyee/mmdetection-mini | 3858c8c2f071c064fe78ce24088a1c9815ae1a21 | [
"MIT"
] | 44 | 2020-09-16T14:21:58.000Z | 2022-03-07T04:28:39.000Z | mmdet/models/necks/__init__.py | dongdongyee/mmdetection-mini | 3858c8c2f071c064fe78ce24088a1c9815ae1a21 | [
"MIT"
] | 161 | 2020-09-10T03:26:35.000Z | 2022-03-22T11:25:04.000Z | from .fpn import FPN
from .bfp import BFP
from .yolo_neck import YOLOV3Neck
from .rr_darkneck import RRDarkNeck, RRYoloV4DarkNeck
__all__ = [
'FPN', 'BFP', 'YOLOV3Neck', 'RRDarkNeck', 'RRYoloV4DarkNeck'
]
| 23.333333 | 64 | 0.747619 | 25 | 210 | 6.04 | 0.48 | 0.344371 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.022346 | 0.147619 | 210 | 8 | 65 | 26.25 | 0.821229 | 0 | 0 | 0 | 0 | 0 | 0.2 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.571429 | 0 | 0.571429 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 5 |
453edeae9146773acae41316b64cd4dcff48740f | 146 | py | Python | sync.py | moorinteractive/rpi-s3-twitter-sync | e3b67601c80a544cf7e7acabac14689e37656b34 | [
"MIT"
] | null | null | null | sync.py | moorinteractive/rpi-s3-twitter-sync | e3b67601c80a544cf7e7acabac14689e37656b34 | [
"MIT"
] | null | null | null | sync.py | moorinteractive/rpi-s3-twitter-sync | e3b67601c80a544cf7e7acabac14689e37656b34 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
import os
import sys
if __name__ == "__main__":
from s3_twitter_sync import tasks
tasks.sync_tweets_to_s3_bucket()
| 18.25 | 37 | 0.746575 | 23 | 146 | 4.130435 | 0.782609 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.016393 | 0.164384 | 146 | 7 | 38 | 20.857143 | 0.762295 | 0.136986 | 0 | 0 | 0 | 0 | 0.064 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.6 | 0 | 0.6 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 5 |
45436f010ecead9659bc475aa9e9d9e1e66d5240 | 122 | py | Python | service/app/testhosting/hosting/admin.py | y-akahori-ramen/TestCaseDataHostingServiceForUnrealEngine | e826d95796977205253b721bcdc38be1caa6de11 | [
"Unlicense"
] | null | null | null | service/app/testhosting/hosting/admin.py | y-akahori-ramen/TestCaseDataHostingServiceForUnrealEngine | e826d95796977205253b721bcdc38be1caa6de11 | [
"Unlicense"
] | 1 | 2020-11-27T02:18:26.000Z | 2020-11-28T03:03:17.000Z | service/app/testhosting/hosting/admin.py | y-akahori-ramen/TestHostingService | e826d95796977205253b721bcdc38be1caa6de11 | [
"Unlicense"
] | null | null | null | from django.contrib import admin
from .models import TestCase
# Register your models here.
admin.site.register(TestCase)
| 20.333333 | 32 | 0.811475 | 17 | 122 | 5.823529 | 0.647059 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.122951 | 122 | 5 | 33 | 24.4 | 0.925234 | 0.213115 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.666667 | 0 | 0.666667 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 5 |
18aa67c82b7e1c49fed10cb7e55091519a4b21d2 | 90 | py | Python | kittycad/__init__.py | KittyCAD/kittycad.py | 7f7460d366dbd55fce50e5faa4a032b62e4baae4 | [
"MIT"
] | 1 | 2022-02-06T05:07:25.000Z | 2022-02-06T05:07:25.000Z | kittycad/__init__.py | KittyCAD/kittycad.py | 7f7460d366dbd55fce50e5faa4a032b62e4baae4 | [
"MIT"
] | 7 | 2022-02-04T11:29:25.000Z | 2022-03-07T01:37:26.000Z | kittycad/__init__.py | KittyCAD/kittycad.py | 7f7460d366dbd55fce50e5faa4a032b62e4baae4 | [
"MIT"
] | null | null | null | """ A client library for accessing KittyCAD """
from .client import Client, ClientFromEnv
| 30 | 47 | 0.766667 | 11 | 90 | 6.272727 | 0.818182 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.144444 | 90 | 2 | 48 | 45 | 0.896104 | 0.433333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 5 |
18cf38e74fa57d8b3ef2f2d00803e742bebe2c89 | 188 | py | Python | game/game_code/interactions/lib/area.py | RDGT/adventure-poc | e211491e5958d12a3347b3e279006d915d691d20 | [
"MIT"
] | 2 | 2018-04-23T15:03:41.000Z | 2018-07-18T06:36:51.000Z | game/game_code/interactions/lib/area.py | RDGT/adventure-poc | e211491e5958d12a3347b3e279006d915d691d20 | [
"MIT"
] | 6 | 2018-03-25T12:04:27.000Z | 2018-09-14T09:08:34.000Z | game/game_code/interactions/lib/area.py | RDGT/adventure-poc | e211491e5958d12a3347b3e279006d915d691d20 | [
"MIT"
] | 1 | 2018-07-22T09:46:55.000Z | 2018-07-22T09:46:55.000Z |
class Area(object):
def __init__(self):
# game holder
self.game = None
super(Area, self).__init__()
def attach_game(self, game):
self.game = game
| 18.8 | 36 | 0.569149 | 23 | 188 | 4.26087 | 0.478261 | 0.326531 | 0.244898 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.319149 | 188 | 9 | 37 | 20.888889 | 0.765625 | 0.058511 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.333333 | false | 0 | 0 | 0 | 0.5 | 0 | 1 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 |
18de1c0971873544fe7f66d76ab19c9086c1bf54 | 145 | py | Python | gplvm_lib/__init__.py | JackHunt/GP-LVM | 2f2aade7207db2f54d5ab13fd304c93eaeb8fc2a | [
"BSD-3-Clause"
] | 11 | 2018-10-01T02:33:05.000Z | 2021-03-04T07:02:59.000Z | gplvm_lib/__init__.py | JackHunt/GP-LVM | 2f2aade7207db2f54d5ab13fd304c93eaeb8fc2a | [
"BSD-3-Clause"
] | 1 | 2019-04-30T10:46:09.000Z | 2019-06-04T23:26:21.000Z | gplvm_lib/__init__.py | JackHunt/GP-LVM | 2f2aade7207db2f54d5ab13fd304c93eaeb8fc2a | [
"BSD-3-Clause"
] | 1 | 2018-03-13T21:45:35.000Z | 2018-03-13T21:45:35.000Z | from kernels import *
from linear_gplvm import LinearGPLVM
from nonlinear_gplvm import NonlinearGPLVM
from pca import pca
from plotting import *
| 24.166667 | 42 | 0.848276 | 20 | 145 | 6.05 | 0.5 | 0.181818 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.137931 | 145 | 5 | 43 | 29 | 0.968 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 5 |
7a1b515253c37b38c875a7092761a248788a7ab9 | 100 | py | Python | lfd_hw6/hw6_q10.py | MahmutOsmanovic/machine-learning-mooc-caltech | deca978e13f6d6950f06417c4d520e71904962d7 | [
"MIT"
] | null | null | null | lfd_hw6/hw6_q10.py | MahmutOsmanovic/machine-learning-mooc-caltech | deca978e13f6d6950f06417c4d520e71904962d7 | [
"MIT"
] | null | null | null | lfd_hw6/hw6_q10.py | MahmutOsmanovic/machine-learning-mooc-caltech | deca978e13f6d6950f06417c4d520e71904962d7 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import numpy as np
import pandas as pd
import pylab
# Make two squares.
| 11.111111 | 23 | 0.66 | 16 | 100 | 4.125 | 0.8125 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.012987 | 0.23 | 100 | 8 | 24 | 12.5 | 0.844156 | 0.39 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 5 |
e13703c9687c103c08d7592a966c100b3c3a8514 | 58 | py | Python | connectomics/model/loss/__init__.py | Shray64/pytorch_connectomics | d6c814f11ac2f8418ede5ae220a93016f50214fc | [
"MIT"
] | null | null | null | connectomics/model/loss/__init__.py | Shray64/pytorch_connectomics | d6c814f11ac2f8418ede5ae220a93016f50214fc | [
"MIT"
] | null | null | null | connectomics/model/loss/__init__.py | Shray64/pytorch_connectomics | d6c814f11ac2f8418ede5ae220a93016f50214fc | [
"MIT"
] | null | null | null | from .loss import *
from .criterion import build_criterion | 29 | 38 | 0.827586 | 8 | 58 | 5.875 | 0.625 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.12069 | 58 | 2 | 38 | 29 | 0.921569 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 5 |
e13a5700335c4d4f1a0f501ed12d0b9fa9f1e270 | 537 | py | Python | neurodocker/reproenv/__init__.py | pwighton/neurodocker | fddb3f0ff5f94ed3680923f9355de4826fb72a24 | [
"Apache-2.0"
] | 144 | 2017-05-19T16:51:02.000Z | 2019-12-11T08:12:48.000Z | neurodocker/reproenv/__init__.py | pwighton/neurodocker | fddb3f0ff5f94ed3680923f9355de4826fb72a24 | [
"Apache-2.0"
] | 266 | 2017-04-18T19:05:31.000Z | 2019-12-11T19:18:03.000Z | neurodocker/reproenv/__init__.py | pwighton/neurodocker | fddb3f0ff5f94ed3680923f9355de4826fb72a24 | [
"Apache-2.0"
] | 61 | 2017-04-21T19:41:54.000Z | 2019-11-05T19:00:55.000Z | """ReproEnv is a generic generator of Dockerfiles and Singularity files. It forms the
core of Neurodocker.
"""
from neurodocker.reproenv.renderers import DockerRenderer # noqa: F401
from neurodocker.reproenv.renderers import SingularityRenderer # noqa: F401
from neurodocker.reproenv.state import register_template # noqa: F401
from neurodocker.reproenv.state import registered_templates # noqa: F401
from neurodocker.reproenv.state import get_template # noqa: F401
from neurodocker.reproenv.template import Template # noqa: F401
| 48.818182 | 85 | 0.817505 | 67 | 537 | 6.507463 | 0.41791 | 0.206422 | 0.316514 | 0.263761 | 0.58945 | 0.396789 | 0.288991 | 0 | 0 | 0 | 0 | 0.038217 | 0.122905 | 537 | 10 | 86 | 53.7 | 0.887473 | 0.316574 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 5 |
e1ab458abc45b999bf5822ab956cbb1e3bb8e7c6 | 2,067 | gyp | Python | cloud9_root/src/testing_targets/build/libcxx.gyp | DanielGuoVT/symsc | 95b705bd1f4d2863d79866c84fc7ee90aba743cb | [
"Apache-2.0"
] | 3 | 2019-02-12T04:14:39.000Z | 2020-11-05T08:46:20.000Z | cloud9_root/src/testing_targets/build/libcxx.gyp | DanielGuoVT/symsc | 95b705bd1f4d2863d79866c84fc7ee90aba743cb | [
"Apache-2.0"
] | null | null | null | cloud9_root/src/testing_targets/build/libcxx.gyp | DanielGuoVT/symsc | 95b705bd1f4d2863d79866c84fc7ee90aba743cb | [
"Apache-2.0"
] | null | null | null | #
# Copyright notice here
#
{
'variables': {
'libcxx_path': '../libcxx',
},
'targets': [
{
'target_name': 'libcxx',
'type': 'static_library',
'cflags': [
'-nostdinc++',
'-g',
'-Os',
'-fPIC',
'-std=c++0x',
'-fstrict-aliasing',
'-Wall',
'-Wextra',
'-Wshadow',
'-Wconversion',
'-Wnewline-eof',
'-Wpadded',
'-Wmissing-prototypes',
'-Wstrict-aliasing=2',
'-Wstrict-overflow=4',
],
'include_dirs': [
'<(libcxx_path)/include',
],
'sources': [
# Headers
'<!@(find <(libcxx_path)/include -maxdepth 1)',
# Implementation
'<(libcxx_path)/src/algorithm.cpp',
'<(libcxx_path)/src/bind.cpp',
'<(libcxx_path)/src/chrono.cpp',
'<(libcxx_path)/src/condition_variable.cpp',
'<(libcxx_path)/src/debug.cpp',
'<(libcxx_path)/src/exception.cpp',
'<(libcxx_path)/src/future.cpp',
'<(libcxx_path)/src/hash.cpp',
'<(libcxx_path)/src/ios.cpp',
'<(libcxx_path)/src/iostream.cpp',
'<(libcxx_path)/src/locale.cpp',
'<(libcxx_path)/src/memory.cpp',
'<(libcxx_path)/src/mutex.cpp',
'<(libcxx_path)/src/new.cpp',
'<(libcxx_path)/src/random.cpp',
'<(libcxx_path)/src/regex.cpp',
'<(libcxx_path)/src/stdexcept.cpp',
'<(libcxx_path)/src/string.cpp',
'<(libcxx_path)/src/strstream.cpp',
'<(libcxx_path)/src/system_error.cpp',
'<(libcxx_path)/src/thread.cpp',
'<(libcxx_path)/src/typeinfo.cpp',
'<(libcxx_path)/src/utility.cpp',
'<(libcxx_path)/src/valarray.cpp',
], # sources
'direct_dependent_settings': {
'cflags': [
'-nostdinc++',
],
'include_dirs': [
'<(libcxx_path)/include',
],
}, # direct_dependent_settings
'link_settings': {
'libraries': [
'-pthread',
],
},
},
], # targets
}
| 25.518519 | 55 | 0.496855 | 194 | 2,067 | 5.092784 | 0.396907 | 0.283401 | 0.315789 | 0.37247 | 0.05668 | 0 | 0 | 0 | 0 | 0 | 0 | 0.002766 | 0.300435 | 2,067 | 80 | 56 | 25.8375 | 0.680498 | 0.041606 | 0 | 0.211268 | 0 | 0 | 0.581643 | 0.411258 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 |
e1b7a2b6d47728e3f097b211fa6ae132a4009036 | 82 | py | Python | file/pdf_combiner/setup.py | mmore21/util | feb1b801e63df668a1d6537adb85003627da85ab | [
"MIT"
] | null | null | null | file/pdf_combiner/setup.py | mmore21/util | feb1b801e63df668a1d6537adb85003627da85ab | [
"MIT"
] | null | null | null | file/pdf_combiner/setup.py | mmore21/util | feb1b801e63df668a1d6537adb85003627da85ab | [
"MIT"
] | null | null | null | from distutils.core import setup
import py2exe, PyPDF2
setup(console=['gui.py']) | 27.333333 | 33 | 0.768293 | 12 | 82 | 5.25 | 0.833333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.027397 | 0.109756 | 82 | 3 | 34 | 27.333333 | 0.835616 | 0 | 0 | 0 | 0 | 0 | 0.074074 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.666667 | 0 | 0.666667 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 5 |
bed095af91f5dd2111e1aff5a936688894b4d2fc | 58 | py | Python | pbo1-project/Persons/__init__.py | hifra01/PBO1-Project | 82b9abbdf1cab4da18e0f9514e92d298d9661b26 | [
"MIT"
] | null | null | null | pbo1-project/Persons/__init__.py | hifra01/PBO1-Project | 82b9abbdf1cab4da18e0f9514e92d298d9661b26 | [
"MIT"
] | null | null | null | pbo1-project/Persons/__init__.py | hifra01/PBO1-Project | 82b9abbdf1cab4da18e0f9514e92d298d9661b26 | [
"MIT"
] | null | null | null | from .Admin import Admin
from .Customer import Customer
| 19.333333 | 31 | 0.793103 | 8 | 58 | 5.75 | 0.5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.172414 | 58 | 2 | 32 | 29 | 0.958333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 5 |
befd76260475a521a2e131f8e73cc9247a4ed704 | 111 | py | Python | vocab_manager.py | mwhittemore2/vocab_manager | 05d8ec2bac925a53e1882c645f5e086a540bfe6b | [
"MIT"
] | null | null | null | vocab_manager.py | mwhittemore2/vocab_manager | 05d8ec2bac925a53e1882c645f5e086a540bfe6b | [
"MIT"
] | null | null | null | vocab_manager.py | mwhittemore2/vocab_manager | 05d8ec2bac925a53e1882c645f5e086a540bfe6b | [
"MIT"
] | null | null | null | import os
from app import create_app
config = os.getenv('FLASK_CONFIG') or 'default'
app = create_app(config)
| 18.5 | 47 | 0.765766 | 18 | 111 | 4.555556 | 0.555556 | 0.219512 | 0.365854 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.135135 | 111 | 5 | 48 | 22.2 | 0.854167 | 0 | 0 | 0 | 0 | 0 | 0.171171 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.5 | 0 | 0.5 | 0 | 1 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 5 |
835b0d307d74f5e1b920259b1416c26cb7a927a8 | 1,921 | py | Python | misc.py | minkyu-choi04/Perceptual_Losses_for_Real_Time_Style_Transfer | caab3360447de02af582e942b2b7a5970e46deac | [
"MIT"
] | 1 | 2020-12-17T06:24:43.000Z | 2020-12-17T06:24:43.000Z | misc.py | minkyu-choi04/Perceptual_Losses_for_Real_Time_Style_Transfer | caab3360447de02af582e942b2b7a5970e46deac | [
"MIT"
] | null | null | null | misc.py | minkyu-choi04/Perceptual_Losses_for_Real_Time_Style_Transfer | caab3360447de02af582e942b2b7a5970e46deac | [
"MIT"
] | null | null | null | import torch
from torch.utils.data import DataLoader
from torchvision import transforms
import torchvision.datasets as datasets
import os
def load_lsun(batch_size, img_size=256):
#normalize = transforms.Normalize(mean=[0.5, 0.5, 0.5], std=[0.5, 0.5, 0.5])
train_loader = torch.utils.data.DataLoader(
datasets.LSUN(root=os.path.expanduser('/home/min/DATASETS/IMAGE/LSUN'), classes='train', transform=transforms.Compose([
transforms.RandomHorizontalFlip(),
transforms.RandomResizedCrop(img_size, scale=(0.5, 1.0), ratio=(1,1.3)),
transforms.ToTensor(),
#normalize
]), target_transform=None),
batch_size=batch_size, shuffle=True,
num_workers=4, pin_memory=True, drop_last=True)
valid_loader = torch.utils.data.DataLoader(
datasets.LSUN(root=os.path.expanduser('/home/min/DATASETS/IMAGE/LSUN'), classes='val', transform=transforms.Compose([
#transforms.RandomHorizontalFlip(),
transforms.RandomResizedCrop(img_size, scale=(0.8, 1.0), ratio=(1,1.3)),
transforms.ToTensor(),
#normalize
]), target_transform=None),
batch_size=batch_size, shuffle=True,
num_workers=4, pin_memory=True, drop_last=True)
test_loader = torch.utils.data.DataLoader(
datasets.LSUN(root=os.path.expanduser('/home/min/DATASETS/IMAGE/LSUN'), classes='test', transform=transforms.Compose([
#transforms.RandomHorizontalFlip(),
transforms.RandomResizedCrop(img_size, scale=(0.8, 1.0), ratio=(1,1.3)),
transforms.ToTensor(),
#normalize
]), target_transform=None),
batch_size=batch_size, shuffle=False,
num_workers=4, pin_memory=True, drop_last=True)
return train_loader, valid_loader, 10
| 51.918919 | 131 | 0.632483 | 224 | 1,921 | 5.294643 | 0.263393 | 0.05312 | 0.047218 | 0.013491 | 0.79258 | 0.79258 | 0.782462 | 0.782462 | 0.782462 | 0.752108 | 0 | 0.028101 | 0.2405 | 1,921 | 36 | 132 | 53.361111 | 0.784784 | 0.089537 | 0 | 0.448276 | 0 | 0 | 0.056799 | 0.049914 | 0 | 0 | 0 | 0 | 0 | 1 | 0.034483 | false | 0 | 0.172414 | 0 | 0.241379 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 |
83674baf1067894817209e64998fc815f5528e7a | 57 | py | Python | examplefile.py | ZanderM/eScienceTutorial | 17469f541be27134a732c330360324ce966961f0 | [
"Apache-2.0"
] | null | null | null | examplefile.py | ZanderM/eScienceTutorial | 17469f541be27134a732c330360324ce966961f0 | [
"Apache-2.0"
] | 2 | 2021-05-18T10:06:07.000Z | 2021-05-18T10:19:03.000Z | examplefile.py | ZanderM/eScienceTutorial | 17469f541be27134a732c330360324ce966961f0 | [
"Apache-2.0"
] | 1 | 2021-05-18T10:12:31.000Z | 2021-05-18T10:12:31.000Z | #!/usr/bin/python3
print("this isssss a python script")
| 14.25 | 36 | 0.719298 | 9 | 57 | 4.555556 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.02 | 0.122807 | 57 | 3 | 37 | 19 | 0.8 | 0.298246 | 0 | 0 | 0 | 0 | 0.692308 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 5 |
55eb78d359d5282a60e4110443e02caf879d052a | 1,296 | py | Python | tests/_async/test_distinct.py | christopher-henderson/PyStream | 8c76a634448d98591aa68087bf78c6cd4da6a6b7 | [
"MIT"
] | null | null | null | tests/_async/test_distinct.py | christopher-henderson/PyStream | 8c76a634448d98591aa68087bf78c6cd4da6a6b7 | [
"MIT"
] | 12 | 2020-10-10T14:28:10.000Z | 2020-10-28T05:42:34.000Z | tests/_async/test_distinct.py | christopher-henderson/PyStream | 8c76a634448d98591aa68087bf78c6cd4da6a6b7 | [
"MIT"
] | null | null | null | import unittest
from pstream import AsyncStream
from tests._async.utils import Driver, Method
class Distinct(Method):
def __init__(self, args):
super(Distinct, self).__init__(AsyncStream.distinct, args)
class TestDistinct(unittest.TestCase):
@Driver(initial=[1, 2, 1, 3, 2, 0, 5], method=Distinct(args=[]), want=[1, 2, 3, 0, 5])
def test__a(self, got=None, want=None, exception=None):
if exception is not None:
raise exception
self.assertEqual(got, want)
@Driver(initial=[1, 2, 1, 3, 2, 0, 5], method=Distinct(args=[]), want=[1, 2, 3, 0, 5])
def test__s(self, got=None, want=None, exception=None):
if exception is not None:
raise exception
self.assertEqual(got, want)
###############################
@Driver(initial=range(0), method=Distinct(args=[]), want=[])
def test1__a(self, got=None, want=None, exception=None):
if exception is not None:
raise exception
self.assertEqual(got, want)
@Driver(initial=range(0), method=Distinct(args=[]), want=[])
def test1__s(self, got=None, want=None, exception=None):
if exception is not None:
raise exception
self.assertEqual(got, want)
if __name__ == '__main__':
unittest.main()
| 29.454545 | 90 | 0.616512 | 172 | 1,296 | 4.5 | 0.238372 | 0.077519 | 0.093023 | 0.113695 | 0.726098 | 0.726098 | 0.726098 | 0.726098 | 0.726098 | 0.726098 | 0 | 0.027888 | 0.225309 | 1,296 | 43 | 91 | 30.139535 | 0.743028 | 0 | 0 | 0.551724 | 0 | 0 | 0.006324 | 0 | 0 | 0 | 0 | 0 | 0.137931 | 1 | 0.172414 | false | 0 | 0.103448 | 0 | 0.344828 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 |
36207185cddd3b65b4a64004975e11b9492791c5 | 85 | py | Python | plugin/src/test/resources/refactoring/move/importSlash/after/src/tmp.py | consulo/consulo-python | 586c3eaee3f9c2cc87fb088dc81fb12ffa4b3a9d | [
"Apache-2.0"
] | null | null | null | plugin/src/test/resources/refactoring/move/importSlash/after/src/tmp.py | consulo/consulo-python | 586c3eaee3f9c2cc87fb088dc81fb12ffa4b3a9d | [
"Apache-2.0"
] | 11 | 2017-02-27T22:35:32.000Z | 2021-12-24T08:07:40.000Z | plugin/src/test/resources/refactoring/move/importSlash/after/src/tmp.py | consulo/consulo-python | 586c3eaee3f9c2cc87fb088dc81fb12ffa4b3a9d | [
"Apache-2.0"
] | null | null | null | from file1 import function_1
from file2 import function_2
function_1()
function_2() | 14.166667 | 28 | 0.823529 | 14 | 85 | 4.714286 | 0.5 | 0.424242 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.081081 | 0.129412 | 85 | 6 | 29 | 14.166667 | 0.810811 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.5 | 0 | 0.5 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 5 |
365f4c07cffa263902c919e16a6008c265ecf1e0 | 294 | py | Python | buyer/admin.py | mrajeswarasai/CollegeMart | 34b4087e84fd753a4796ee1cdbd53d22f637f011 | [
"Apache-2.0"
] | null | null | null | buyer/admin.py | mrajeswarasai/CollegeMart | 34b4087e84fd753a4796ee1cdbd53d22f637f011 | [
"Apache-2.0"
] | 3 | 2021-06-08T22:29:18.000Z | 2022-03-12T00:48:30.000Z | buyer/admin.py | mrajeswarasai/CollegeMart | 34b4087e84fd753a4796ee1cdbd53d22f637f011 | [
"Apache-2.0"
] | null | null | null | from django.contrib import admin
from .models import Orders_Buying, Orders_Leasing, Notification, Leasing_Notification
# Register your models here.
admin.site.register(Orders_Buying)
admin.site.register(Orders_Leasing)
admin.site.register(Notification)
admin.site.register(Leasing_Notification) | 42 | 85 | 0.857143 | 38 | 294 | 6.473684 | 0.368421 | 0.146341 | 0.276423 | 0.186992 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.064626 | 294 | 7 | 86 | 42 | 0.894545 | 0.088435 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.333333 | 0 | 0.333333 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 5 |
367b803d03ff1666aa18a8012c21c5328b60d266 | 32 | py | Python | src/z3c/unconfigure/__init__.py | zopefoundation/z3c.unconfigure | f393b70ff1b518fc7fa3ea3929e66b73efad0488 | [
"ZPL-2.1"
] | 1 | 2019-11-21T13:52:30.000Z | 2019-11-21T13:52:30.000Z | src/z3c/unconfigure/__init__.py | zopefoundation/z3c.unconfigure | f393b70ff1b518fc7fa3ea3929e66b73efad0488 | [
"ZPL-2.1"
] | null | null | null | src/z3c/unconfigure/__init__.py | zopefoundation/z3c.unconfigure | f393b70ff1b518fc7fa3ea3929e66b73efad0488 | [
"ZPL-2.1"
] | null | null | null | # Make this package a directory
| 16 | 31 | 0.78125 | 5 | 32 | 5 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.1875 | 32 | 1 | 32 | 32 | 0.961538 | 0.90625 | 0 | null | 0 | null | 0 | 0 | null | 0 | 0 | 0 | null | 1 | null | true | 0 | 0 | null | null | null | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 |
36affebe4afeca7e305038ae9a4671622739e19c | 70 | py | Python | bowling/sort/merge/__init__.py | necromuralist/Bowling-For-Data | 8fb2bff206bf419812f96a5ad243e1d82959a00a | [
"MIT"
] | null | null | null | bowling/sort/merge/__init__.py | necromuralist/Bowling-For-Data | 8fb2bff206bf419812f96a5ad243e1d82959a00a | [
"MIT"
] | null | null | null | bowling/sort/merge/__init__.py | necromuralist/Bowling-For-Data | 8fb2bff206bf419812f96a5ad243e1d82959a00a | [
"MIT"
] | null | null | null | from .mergesort import mergesort
from .merge import merge, merge_clrs
| 23.333333 | 36 | 0.828571 | 10 | 70 | 5.7 | 0.5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.128571 | 70 | 2 | 37 | 35 | 0.934426 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 5 |
36b5efe7408e0057487972e83ab0b3908f0bf24e | 418 | py | Python | restless_dj_utils/tests/utils/test_is_true.py | AdvancedThreatAnalytics/restless_dj_utils | 50470b11c95f5d7c2caa61147c2341d9b0e86ab6 | [
"MIT"
] | null | null | null | restless_dj_utils/tests/utils/test_is_true.py | AdvancedThreatAnalytics/restless_dj_utils | 50470b11c95f5d7c2caa61147c2341d9b0e86ab6 | [
"MIT"
] | 1 | 2020-09-21T09:35:58.000Z | 2020-09-21T09:35:58.000Z | restless_dj_utils/tests/utils/test_is_true.py | AdvancedThreatAnalytics/restless_dj_utils | 50470b11c95f5d7c2caa61147c2341d9b0e86ab6 | [
"MIT"
] | null | null | null | from restless_dj_utils.utils.is_true import is_true
def test_is_true():
"""Validate is_true return true/false where expected"""
assert is_true("1") is True
assert is_true("0") is False
assert is_true("True") is True
assert is_true("False") is False
assert is_true("true") is True
assert is_true("false") is False
assert is_true("TRUE") is True
assert is_true("FALSE") is False
| 24.588235 | 59 | 0.691388 | 70 | 418 | 3.914286 | 0.242857 | 0.350365 | 0.350365 | 0.20438 | 0.594891 | 0.529197 | 0.529197 | 0.529197 | 0.529197 | 0.529197 | 0 | 0.006006 | 0.203349 | 418 | 16 | 60 | 26.125 | 0.816817 | 0.117225 | 0 | 0 | 0 | 0 | 0.07989 | 0 | 0 | 0 | 0 | 0 | 0.8 | 1 | 0.1 | true | 0 | 0.1 | 0 | 0.2 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 |
36b967fefd48cd8463668313a69d6991a85ab085 | 4,054 | py | Python | parser/tournament.py | itiszakk/CybersportAnalyser | 41501f5a758e7ee79ec2241c2613853ee7f72e0a | [
"Apache-2.0"
] | null | null | null | parser/tournament.py | itiszakk/CybersportAnalyser | 41501f5a758e7ee79ec2241c2613853ee7f72e0a | [
"Apache-2.0"
] | null | null | null | parser/tournament.py | itiszakk/CybersportAnalyser | 41501f5a758e7ee79ec2241c2613853ee7f72e0a | [
"Apache-2.0"
] | null | null | null | import core
import os
class Tournament:
Name = "-"
Date = "-"
Winnings = "-"
Type = "-"
Country = "-"
def cs_check_attrs(attrs):
tmp = Tournament()
for attr in attrs:
attr_name = attr.text
if attr_name == "Type:":
tmp.Type = attr.find_next('div', {'class': 'infobox-cell-2'}).text
elif attr_name == "Location:":
locations = attr.find_next('div', {'class': 'infobox-cell-2'}).text.strip()
tmp.Country = locations.split(u'\xa0')
elif attr_name == "Prize Pool:":
tmp.Winnings = core.get_money(attr.find_next('div', {'class': 'infobox-cell-2'}).text)
elif attr_name == "Start Date:":
tmp.Date = attr.find_next('div', {'class': 'infobox-cell-2'}).text
return tmp
def dota2_check_attrs(attrs):
tmp = Tournament()
for attr in attrs:
attr_name = attr.text
if attr_name == "Type:":
tmp.Type = attr.find_next('div', {'class': 'infobox-cell-2'}).text
elif attr_name == "Location:":
locations = attr.find_next('div', {'class': 'infobox-cell-2'}).text.strip()
tmp.Country = locations.split(u'\xa0')
elif attr_name == "Prize Pool:":
tmp.Winnings = core.get_money(attr.find_next('div', {'class': 'infobox-cell-2'}).text)
elif attr_name == "Dates:":
temp_date = attr.find_next('div', {'class': 'infobox-cell-2'}).text.split(',')
year = temp_date[1].strip()
moth_day = temp_date[0].split('-')[0].strip()
moth = core.month_string_to_number(moth_day.split(' ')[0])
day = moth_day.split(' ')[1]
tmp.Date = str(year) + '-' + str(moth) + '-' + str(day)
return tmp
def val_check_attrs(attrs):
tmp = Tournament()
for attr in attrs:
attr_name = attr.text
if attr_name == "Type:":
tmp.Type = attr.find_next('div', {'class': 'infobox-cell-2'}).text
elif attr_name == "Location:":
locations = attr.find_next('div', {'class': 'infobox-cell-2'}).text.strip()
tmp.Country = locations.split(u'\xa0')
elif attr_name == "Prize Pool:":
tmp.Winnings = core.get_money(attr.find_next('div', {'class': 'infobox-cell-2'}).text)
elif attr_name == "Start Date:":
tmp.Date = attr.find_next('div', {'class': 'infobox-cell-2'}).text
return tmp
def lol_check_attrs(attrs):
tmp = Tournament()
for attr in attrs:
attr_name = attr.text
if attr_name == "Type:":
tmp.Type = attr.find_next('div', {'class': 'infobox-cell-2'}).text
elif attr_name == "Location:":
locations = attr.find_next('div', {'class': 'infobox-cell-2'}).text.strip()
tmp.Country = locations.split(u'\xa0')
elif attr_name == "Prize Pool:":
tmp.Winnings = core.get_money(attr.find_next('div', {'class': 'infobox-cell-2'}).text)
elif attr_name == "Start Date:":
tmp.Date = attr.find_next('div', {'class': 'infobox-cell-2'}).text
return tmp
def game_tour_get_attr(infobox, table, game_method):
name_id = infobox.find('div', {'class': 'infobox-header'})
name_id.span.decompose()
name = name_id.text.strip().replace(u'\xa0', ' ')
attrs = infobox.find_all('div', {'class': 'infobox-cell-2 infobox-description'})
tmp = game_method(attrs)
tmp.Name = name
player_dict = {
'name': tmp.Name,
'date': tmp.Date,
'type': tmp.Type,
'country': tmp.Country,
'winnings': tmp.Winnings,
}
return player_dict
def cs_tour_get_attr(infobox, table):
return game_tour_get_attr(infobox, table, cs_check_attrs)
def dota2_tour_get_attr(infobox, table):
return game_tour_get_attr(infobox, table, dota2_check_attrs)
def val_tour_get_attr(infobox, table):
return game_tour_get_attr(infobox, table, val_check_attrs)
def lol_tour_get_attr(infobox, table):
return game_tour_get_attr(infobox, table, lol_check_attrs)
| 31.92126 | 98 | 0.589295 | 534 | 4,054 | 4.286517 | 0.125468 | 0.0699 | 0.117955 | 0.14111 | 0.75273 | 0.743993 | 0.732197 | 0.732197 | 0.732197 | 0.732197 | 0 | 0.009791 | 0.244203 | 4,054 | 126 | 99 | 32.174603 | 0.737272 | 0 | 0 | 0.543478 | 0 | 0 | 0.151455 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.097826 | false | 0 | 0.021739 | 0.043478 | 0.282609 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 |
36da670800f4dc8db60083ec7fbe36b6795aba0e | 167 | py | Python | bot/config.py | yuno74/Nyaa-Telegram-Bot | a22c52c39af85161f8c3e5f432744a005b1dbb9d | [
"MIT"
] | null | null | null | bot/config.py | yuno74/Nyaa-Telegram-Bot | a22c52c39af85161f8c3e5f432744a005b1dbb9d | [
"MIT"
] | null | null | null | bot/config.py | yuno74/Nyaa-Telegram-Bot | a22c52c39af85161f8c3e5f432744a005b1dbb9d | [
"MIT"
] | null | null | null | class Config(object):
API_ID = int(1669770)
API_HASH = "05c5b9c075375e5199f684d86f165829"
BOT_TOKEN = "5266108887:AAEFdjWb5UuY9FreN9Dazfcvtz7DyxmIew0"
| 33.4 | 65 | 0.760479 | 14 | 167 | 8.857143 | 0.928571 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.335714 | 0.161677 | 167 | 4 | 66 | 41.75 | 0.55 | 0 | 0 | 0 | 0 | 0 | 0.478528 | 0.478528 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 5 |
3d48bc6f416a4cc3d202072daae931bc204ebea8 | 122 | py | Python | kattis/knotknowledge.py | terror/Solutions | 1ad33daec95b565a38ac4730261593bcf249ac86 | [
"CC0-1.0"
] | 2 | 2021-04-05T14:26:37.000Z | 2021-06-10T04:22:01.000Z | kattis/knotknowledge.py | terror/Solutions | 1ad33daec95b565a38ac4730261593bcf249ac86 | [
"CC0-1.0"
] | null | null | null | kattis/knotknowledge.py | terror/Solutions | 1ad33daec95b565a38ac4730261593bcf249ac86 | [
"CC0-1.0"
] | null | null | null | if __name__ == '__main__':
n = int(input())
print(*(set(map(int, input().split())) - set(map(int, input().split()))))
| 30.5 | 75 | 0.57377 | 17 | 122 | 3.647059 | 0.588235 | 0.387097 | 0.290323 | 0.451613 | 0.612903 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.131148 | 122 | 3 | 76 | 40.666667 | 0.584906 | 0 | 0 | 0 | 0 | 0 | 0.065574 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.333333 | 1 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 |
18036117f4f1cc28669142aee7ce9f92f6117312 | 991 | py | Python | tests/addons/layers/test_se_layer.py | khirotaka/enchanter | 71faa51f998da5c8d9185a979a4f5849c9b5f9e6 | [
"Apache-2.0"
] | 8 | 2020-04-18T03:09:19.000Z | 2021-05-05T17:57:27.000Z | tests/addons/layers/test_se_layer.py | khirotaka/enchanter | 71faa51f998da5c8d9185a979a4f5849c9b5f9e6 | [
"Apache-2.0"
] | 107 | 2020-02-12T11:35:06.000Z | 2022-03-24T20:49:43.000Z | tests/addons/layers/test_se_layer.py | khirotaka/enchanter | 71faa51f998da5c8d9185a979a4f5849c9b5f9e6 | [
"Apache-2.0"
] | 2 | 2020-02-12T12:23:51.000Z | 2021-07-19T11:41:04.000Z | import torch
import torch.jit
import enchanter.addons.layers as layers
def test_se1d_1():
x = torch.randn(1, 32, 128).float()
model = layers.SELayer1d(32)
try:
out = model(x)
is_pass = True
except Exception:
is_pass = False
assert is_pass
def test_se1d_2():
x = torch.randn(1, 32, 128).float()
model = torch.jit.trace(layers.SELayer1d(32), (x, ))
try:
out = model(x)
is_pass = True
except Exception:
is_pass = False
assert is_pass
def test_se2d_1():
x = torch.randn(1, 32, 128, 128).float()
model = layers.SELayer2d(32)
try:
out = model(x)
is_pass = True
except Exception:
is_pass = False
assert is_pass
def test_se2d_2():
x = torch.randn(1, 32, 128, 128).float()
model = torch.jit.trace(layers.SELayer2d(32), (x, ))
try:
out = model(x)
is_pass = True
except Exception:
is_pass = False
assert is_pass
| 18.351852 | 56 | 0.583249 | 141 | 991 | 3.957447 | 0.219858 | 0.129032 | 0.078853 | 0.086022 | 0.77957 | 0.77957 | 0.77957 | 0.704301 | 0.607527 | 0.5 | 0 | 0.072359 | 0.302725 | 991 | 53 | 57 | 18.698113 | 0.735166 | 0 | 0 | 0.717949 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.102564 | 1 | 0.102564 | false | 0.307692 | 0.076923 | 0 | 0.179487 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 5 |
181a90a5cfc7d2a438ec50ea59edd933022b4b8c | 24,615 | py | Python | test.py | jchen1352/pokemon-rl | ad7001f987bf94d748bf4fcfbbb1e81df1a7ec8c | [
"MIT"
] | 1 | 2019-03-29T21:02:10.000Z | 2019-03-29T21:02:10.000Z | test.py | jchen1352/pokemon-rl | ad7001f987bf94d748bf4fcfbbb1e81df1a7ec8c | [
"MIT"
] | null | null | null | test.py | jchen1352/pokemon-rl | ad7001f987bf94d748bf4fcfbbb1e81df1a7ec8c | [
"MIT"
] | null | null | null | import unittest
import logging
import time
from agents.base_agent import Agent
from sim import SimRunner
class TestAgent(Agent):
def set_actions(self, actions):
self.actions = actions
self.action_num = 0
def choose_action(self):
action = self.actions[self.action_num]
self.action_num += 1
self.wait_game = True
self.force_switch = False
self.choose_start = False
return action
class Test(unittest.TestCase):
def setUp(self):
self.agent1 = TestAgent('a')
self.agent2 = TestAgent('b')
self.sim_runner = SimRunner(self.agent1, self.agent2)
def tearDown(self):
self.sim_runner.clean_up()
print('Done')
def test_switches(self):
print('Testing switches...')
silent = True
team1 = '|butterfree|||uturn|||||||]|jirachi|||wish|||||||'
team2 = '|jirachi|||wish|||||||]|butterfree|||uturn|||||||'
self.agent1.set_actions(['team 1', 'move 1', 'switch 2', 'switch 2'])
self.agent2.set_actions(['team 2', 'switch 2', 'switch 2'])
g1 = self.agent1.game_data
g2 = self.agent2.game_data
self.sim_runner.start('ubers', team1, team2)
self.sim_runner.run_until_request(silent=silent)
#p1 butterfree, p2 butterfree
self.sim_runner.run_actions(silent=silent)
self.sim_runner.run_until_request(silent=silent)
self.assertEqual(g1.active.name, 'butterfree')
self.assertEqual(g1.active.moves[0].name, 'uturn')
self.assertEqual(g1.team[1].name, 'jirachi')
self.assertEqual(g1.team[1].moves[0].name, 'wish')
#p1 uturn, p2 jirachi
self.sim_runner.run_actions(silent=silent)
self.sim_runner.run_until_request(silent=silent)
self.assertEqual(g1.opp_active.name, 'jirachi')
#p1 jirachi
self.sim_runner.run_actions(silent=silent)
self.sim_runner.run_until_request(silent=silent)
self.assertEqual(g1.active.name, 'jirachi')
self.assertEqual(g2.opp_active.name, 'jirachi')
#p1 butterfree, p2 butterfree
self.sim_runner.run_actions(silent=silent)
self.sim_runner.run_until_request(silent=silent)
self.assertEqual(g1.active.moves[0].name, 'uturn')
self.assertEqual(g2.opp_active.moves[0].name, 'uturn')
self.assertEqual(g1.team[1].moves[0].name, 'wish')
self.assertEqual(g2.active.moves[0].name, 'uturn')
self.assertEqual(g2.team[1].moves[0].name, 'wish')
def test_change(self):
print('Testing form changes...')
silent = True
team1 = '|gyarados|gyaradosite|moxie|flamethrower|||||||'
team2 = '|necrozmaduskmane|ultranecroziumz||photongeyser|||||||'
self.agent1.set_actions(['team 1', 'move 1 mega'])
self.agent2.set_actions(['team 1', 'move 1 ultra'])
g1 = self.agent1.game_data
g2 = self.agent2.game_data
self.sim_runner.start('ubers', team1, team2)
self.sim_runner.run_until_request(silent=silent)
#p1 gyarados, p2 necrozmaduskmane
self.sim_runner.run_actions(silent=silent)
self.sim_runner.run_until_request(silent=silent)
self.assertEqual(g1.active.name, 'gyarados')
self.assertEqual(g1.opp_active.name, 'necrozmaduskmane')
self.assertEqual(g1.opp_active.ability, 'prismarmor')
#p1 flamethrower mega, p2 photongeyser ultra
self.sim_runner.run_actions(silent=silent)
self.sim_runner.run_until_request(silent=silent)
self.assertEqual(g1.opp_active.name, 'necrozmaultra')
self.assertEqual(g1.opp_active.ability, 'neuroforce')
self.assertEqual(g2.opp_active.name, 'gyaradosmega')
self.assertEqual(g2.opp_active.ability, 'moldbreaker')
self.assertTrue(g1.mega)
self.assertTrue(g2.opp_mega)
def test_status(self):
print('Testing status...')
silent = True
team1 = '|mew|chestoberry||healbell,rest,defog|||||||' + \
']|zygarde|||glare|||||||'
team2 = '|toxapex|flameorb||toxic,toxicspikes|||||||' + \
']|clefable|||moonlight|||||||'
self.agent1.set_actions(['team 1', 'move 3', 'move 3', 'switch 2',
'move 1', 'switch 2', 'move 1', 'move 2'])
self.agent2.set_actions(['team 1', 'move 1', 'move 2', 'switch 2',
'move 1', 'move 1', 'move 1', 'move 1'])
g1 = self.agent1.game_data
g2 = self.agent2.game_data
self.sim_runner.start('ubers', team1, team2)
self.sim_runner.run_until_request(silent=silent)
#p1 mew, p2 toxapex
self.sim_runner.run_actions(silent=silent)
self.sim_runner.run_until_request(silent=silent)
self.assertEqual(g1.opp_active.status, None)
self.assertEqual(g2.opp_active.status, None)
#p1 defog, p2 toxic
self.sim_runner.run_actions(silent=silent)
self.sim_runner.run_until_request(silent=silent)
self.assertEqual(g1.opp_active.status, 'brn')
self.assertEqual(g1.opp_active.item, 'flameorb')
self.assertEqual(g2.opp_active.status, 'tox')
#p1 defog, p2 toxicspikes
self.sim_runner.run_actions(silent=silent)
self.sim_runner.run_until_request(silent=silent)
#p1 zygarde, p2 clefable
self.sim_runner.run_actions(silent=silent)
self.sim_runner.run_until_request(silent=silent)
self.assertEqual(g2.opp_active.status, 'psn')
#p1 glare, p2 moonlight
self.sim_runner.run_actions(silent=silent)
self.sim_runner.run_until_request(silent=silent)
self.assertEqual(g1.opp_active.status, 'par')
#p1 mew, p2 moonlight
self.sim_runner.run_actions(silent=silent)
self.sim_runner.run_until_request(silent=silent)
#p1 healbell, p2 moonlight
self.sim_runner.run_actions(silent=silent)
self.sim_runner.run_until_request(silent=silent)
self.assertEqual(g2.opp_active.status, None)
self.assertEqual(g2.opp_team[1].name, 'zygarde')
self.assertEqual(g2.opp_team[1].status, None)
self.assertEqual(g2.opp_active.item, None)
#p1 rest, p2 moonlight
self.sim_runner.run_actions(silent=silent)
self.sim_runner.run_until_request(silent=silent)
self.assertEqual(g2.opp_active.status, None)
self.assertEqual(g2.opp_active.item, '') #Used chesto berry
def test_boosts(self):
print('Testing boosts...')
silent = True
team1 = '|cloyster|whiteherb|1|shellsmash|||||||]' + \
'|primeape||1|closecombat|||||||]' + \
'|malamar|||guardswap,topsyturvy|||||||'
team2 = '|pangoro|||stormthrow|||||||]' + \
'|marshadow|||spectralthief,bulkup|||||||]' + \
'|drifblim|||clearsmog,haze,minimize|||||||'
g1 = self.agent1.game_data
g2 = self.agent2.game_data
self.sim_runner.start('anythinggoes', team1, team2)
self.agent1.set_actions(['team 1', 'move 1', 'switch 2', 'move 1',
'move 1', 'switch 3', 'move 1', 'move 2', 'move 1', 'move 1',
'move 1', 'move 1', 'switch 2'])
self.agent2.set_actions(['team 1', 'move 1', 'move 1', 'move 1',
'switch 2', 'move 1', 'move 2', 'move 2', 'switch 3', 'move 3',
'move 1', 'move 2', 'move 3'])
self.sim_runner.run_until_request(silent=silent)
#p1 cloyster, p2 pangoro
self.sim_runner.run_actions(silent=silent)
self.sim_runner.run_until_request(silent=silent)
#p1 shellsmash, p2 stormthrow
self.sim_runner.run_actions(silent=silent)
self.sim_runner.run_until_request(silent=silent)
self.assertEqual(g1.boost_list(), [2,0,2,0,2,0,0])
self.assertEqual(g2.opp_boost_list(), [2,0,2,0,2,0,0])
#p1 primeape, p2 stormthrow
self.sim_runner.run_actions(silent=silent)
self.sim_runner.run_until_request(silent=silent)
self.assertEqual(g1.active.name, 'primeape')
self.assertEqual(g1.boost_list(), [6,0,0,0,0,0,0])
self.assertEqual(g2.opp_boost_list(), [6,0,0,0,0,0,0])
self.assertEqual(g2.opp_active.ability, 'angerpoint')
#p1 closecombat, p2 stormthrow
self.sim_runner.run_actions(silent=silent)
self.sim_runner.run_until_request(silent=silent)
self.assertEqual(g1.boost_list(), [6,-1,0,-1,0,0,0])
self.assertEqual(g2.opp_boost_list(), [6,-1,0,-1,0,0,0])
#p2 marshadow
self.sim_runner.run_actions(silent=silent)
self.sim_runner.run_until_request(silent=silent)
self.assertEqual(g2.active.name, 'marshadow')
#p1 closecombat, p2 spectralthief
self.sim_runner.run_actions(silent=silent)
self.sim_runner.run_until_request(silent=silent)
self.assertEqual(g2.boost_list(), [6,0,0,0,0,0,0])
self.assertEqual(g1.opp_boost_list(), [6,0,0,0,0,0,0])
#p1 malamar
self.sim_runner.run_actions(silent=silent)
self.sim_runner.run_until_request(silent=silent)
self.assertEqual(g1.active.name, 'malamar')
#p1 guardswap, p2 bulkup
self.sim_runner.run_actions(silent=silent)
self.sim_runner.run_until_request(silent=silent)
self.assertEqual(g1.boost_list(), [0,1,0,0,0,0,0])
self.assertEqual(g2.opp_boost_list(), [0,1,0,0,0,0,0])
self.assertEqual(g2.boost_list(), [6,0,0,0,0,0,0])
self.assertEqual(g1.opp_boost_list(), [6,0,0,0,0,0,0])
#p1 topsyturvy, p2 bulkup
self.sim_runner.run_actions(silent=silent)
self.sim_runner.run_until_request(silent=silent)
self.assertEqual(g1.boost_list(), [0,1,0,0,0,0,0])
self.assertEqual(g2.opp_boost_list(), [0,1,0,0,0,0,0])
self.assertEqual(g2.boost_list(), [-6,-1,0,0,0,0,0])
self.assertEqual(g1.opp_boost_list(), [-6,-1,0,0,0,0,0])
#p1 guardswap, p2 drifblim
self.sim_runner.run_actions(silent=silent)
self.sim_runner.run_until_request(silent=silent)
self.assertEqual(g2.active.name, 'drifblim')
self.assertEqual(g1.boost_list(), [0,0,0,0,0,0,0])
self.assertEqual(g2.opp_boost_list(), [0,0,0,0,0,0,0])
self.assertEqual(g2.boost_list(), [0,1,0,0,0,0,0])
self.assertEqual(g1.opp_boost_list(), [0,1,0,0,0,0,0])
#p1 guardswap, p2 minimize
self.sim_runner.run_actions(silent=silent)
self.sim_runner.run_until_request(silent=silent)
self.assertEqual(g1.boost_list(), [0,1,0,0,0,0,0])
self.assertEqual(g2.opp_boost_list(), [0,1,0,0,0,0,0])
self.assertEqual(g2.boost_list(), [0,0,0,0,0,0,2])
self.assertEqual(g1.opp_boost_list(), [0,0,0,0,0,0,2])
#p1 guardswap, p2 clearsmog
self.sim_runner.run_actions(silent=silent)
self.sim_runner.run_until_request(silent=silent)
self.assertEqual(g1.boost_list(), [0,0,0,0,0,0,0])
self.assertEqual(g2.opp_boost_list(), [0,0,0,0,0,0,0])
self.assertEqual(g2.boost_list(), [0,0,0,0,0,0,2])
self.assertEqual(g1.opp_boost_list(), [0,0,0,0,0,0,2])
#p1 guardswap, p2 haze
self.sim_runner.run_actions(silent=silent)
self.sim_runner.run_until_request(silent=silent)
self.assertEqual(g1.boost_list(), [0,0,0,0,0,0,0])
self.assertEqual(g2.opp_boost_list(), [0,0,0,0,0,0,0])
self.assertEqual(g2.boost_list(), [0,0,0,0,0,0,0])
self.assertEqual(g1.opp_boost_list(), [0,0,0,0,0,0,0])
#p1 primeape, p2 minimize
self.sim_runner.run_actions(silent=silent)
self.sim_runner.run_until_request(silent=silent)
self.assertEqual(g1.active.name, 'cloyster')
self.assertEqual(g1.boost_list(), [0,0,0,0,0,0,0])
self.assertEqual(g2.opp_boost_list(), [0,0,0,0,0,0,0])
def test_zmove1(self):
print('Testing zmove1...')
silent = True
team1 = '|mew|mewniumz||psychic|||||||'
team2 = '|jirachi|psychiumz||heartstamp|||||||'
self.agent1.set_actions(['team 1', 'move 1 zmove'])
self.agent2.set_actions(['team 1', 'move 1 zmove'])
g1 = self.agent1.game_data
g2 = self.agent2.game_data
self.sim_runner.start('ubers', team1, team2)
self.sim_runner.run_until_request(silent=silent)
#p1 mew, p2 jirachi
self.sim_runner.run_actions(silent=silent)
self.sim_runner.run_until_request(silent=silent)
self.assertFalse(g1.zmove)
self.assertFalse(g2.opp_zmove)
self.assertFalse(g2.zmove)
self.assertFalse(g1.opp_zmove)
#p1 genesissupernova, p2 shatteredpsyche
self.sim_runner.run_actions(silent=silent)
self.sim_runner.run_until_request(silent=silent)
self.assertTrue(g1.zmove)
self.assertTrue(g2.opp_zmove)
self.assertTrue(g2.zmove)
self.assertTrue(g1.opp_zmove)
self.assertEqual(g2.opp_active.moves[0].name, 'psychic')
self.assertEqual(g2.opp_active.item, 'mewniumz')
self.assertEqual(g1.opp_active.item, 'psychiumz')
def test_zmove2(self):
print('Testing zmove2...')
silent = True
team1 = '|mew|mewniumz||psychic|||||||'
team2 = '|jirachi|psychiumz||reflect|||||||'
self.agent1.set_actions(['team 1', 'move 1'])
self.agent2.set_actions(['team 1', 'move 1 zmove'])
g1 = self.agent1.game_data
g2 = self.agent2.game_data
self.sim_runner.start('ubers', team1, team2)
self.sim_runner.run_until_request(silent=silent)
#p1 mew, p2 jirachi
self.sim_runner.run_actions(silent=silent)
self.sim_runner.run_until_request(silent=silent)
self.assertFalse(g1.zmove)
self.assertFalse(g2.opp_zmove)
self.assertFalse(g2.zmove)
self.assertFalse(g1.opp_zmove)
#p1 genesissupernova, p2 shatteredpsyche
self.sim_runner.run_actions(silent=silent)
self.sim_runner.run_until_request(silent=silent)
self.assertFalse(g1.zmove)
self.assertFalse(g2.opp_zmove)
self.assertTrue(g2.zmove)
self.assertTrue(g1.opp_zmove)
self.assertEqual(g1.opp_active.moves[0].name, 'reflect')
self.assertEqual(g1.opp_active.item, 'psychiumz')
def test_type_change(self):
print('Testing type changes...')
silent = True
team1 = '|typhlosion|||burnup|||||||]' + \
'|greninja||H|haze|||||||]' + \
'|kecleon|||nastyplot|||||||]' + \
'|smeargle|||forestscurse,reflecttype,conversion,soak|||||||'
team2 = '|toxapex|||hiddenpowerice,haze|||||||'
self.agent1.set_actions(['team 1', 'move 1', 'switch 2', 'move 1',
'switch 3', 'switch 4', 'move 1', 'move 2', 'move 4'])
self.agent2.set_actions(['team 1', 'move 2', 'move 2', 'move 2',
'move 1', 'move 2', 'move 2', 'move 2', 'move 2'])
g1 = self.agent1.game_data
g2 = self.agent2.game_data
self.sim_runner.start('ubers', team1, team2)
self.sim_runner.run_until_request(silent=silent)
#p1 typhlosion, p2 toxapex
self.sim_runner.run_actions(silent=silent)
self.sim_runner.run_until_request(silent=silent)
#p1 burnup, p2 haze
self.sim_runner.run_actions(silent=silent)
self.sim_runner.run_until_request(silent=silent)
self.assertEqual(g1.active.types, [''])
self.assertEqual(g2.opp_active.types, [''])
#p1 greninja, p2 haze
self.sim_runner.run_actions(silent=silent)
self.sim_runner.run_until_request(silent=silent)
#p1 haze, p2 haze
self.sim_runner.run_actions(silent=silent)
self.sim_runner.run_until_request(silent=silent)
self.assertEqual(g1.active.types, ['ice'])
self.assertEqual(g2.opp_active.types, ['ice'])
self.assertEqual(g2.opp_active.ability, 'protean')
#p1 kecleon, p2 hiddenpowerice
self.sim_runner.run_actions(silent=silent)
self.sim_runner.run_until_request(silent=silent)
self.assertEqual(g1.active.types, ['ice'])
self.assertEqual(g2.opp_active.types, ['ice'])
self.assertEqual(g2.opp_active.ability, 'colorchange')
#p1 smeargle, p2 haze
self.sim_runner.run_actions(silent=silent)
self.sim_runner.run_until_request(silent=silent)
#p1 forestscurse, p2 haze
self.sim_runner.run_actions(silent=silent)
self.sim_runner.run_until_request(silent=silent)
self.assertEqual(g2.active.types, ['poison', 'water', 'grass'])
self.assertEqual(g1.opp_active.types, ['poison', 'water', 'grass'])
#p1 reflecttype, p2 haze
self.sim_runner.run_actions(silent=silent)
self.sim_runner.run_until_request(silent=silent)
self.assertEqual(g1.active.types, ['poison', 'water', 'grass'])
self.assertEqual(g2.opp_active.types, ['poison', 'water', 'grass'])
#p1 soak, p2 haze
self.sim_runner.run_actions(silent=silent)
self.sim_runner.run_until_request(silent=silent)
self.assertEqual(g2.active.types, ['water'])
self.assertEqual(g1.opp_active.types, ['water'])
def test_volatile_status(self):
def check_effects(poke_effects, effects):
for eff in poke_effects:
if eff in effects:
self.assertTrue(poke_effects[eff])
else:
self.assertFalse(poke_effects[eff])
print('Testing volatile statuses...')
silent = True
team = '|wobbuffet|||counter,destinybond,encore,safeguard|||||||]' + \
'|gengar|||curse,embargo,attract,disable|||||||]' + \
'|celebi|||leechseed,healblock,telekinesis,solarbeam|||||||]' + \
'|azumarill|||perishsong,substitute,aquaring|||||||]' + \
'|darkrai|||nightmare,torment,swagger,taunt|||||||]' + \
'|smeargle|||miracleeye,spore,ingrain,magnetrise|||||||'
self.agent1.set_actions(['team 3', 'move 4', 'move 1', 'move 3',
'move 1', 'switch 6'])
self.agent2.set_actions(['team 4', 'move 2', 'move 1', 'move 3',
'move 3', 'move 3'])
g1 = self.agent1.game_data
g2 = self.agent2.game_data
self.sim_runner.start('ubers', team, team)
self.sim_runner.run_until_request(silent=silent)
#p1 celebi, p2 azumarill
self.sim_runner.run_actions(silent=silent)
self.sim_runner.run_until_request(silent=silent)
#p1 solarbeam, p2 substitute
self.sim_runner.run_actions(silent=silent)
self.sim_runner.run_until_request(silent=silent)
check_effects(g2.poke_effects, ['substitute'])
check_effects(g1.opp_poke_effects, ['substitute'])
#p1 solarbeam, p2 perishsong
self.sim_runner.run_actions(silent=silent)
self.sim_runner.run_until_request(silent=silent)
check_effects(g1.poke_effects, ['perish3'])
check_effects(g2.opp_poke_effects, ['perish3'])
check_effects(g2.poke_effects, ['perish3'])
check_effects(g1.opp_poke_effects, ['perish3'])
#p1 telekinesis, p2 aquaring
self.sim_runner.run_actions(silent=silent)
self.sim_runner.run_until_request(silent=silent)
check_effects(g1.poke_effects, ['perish3', 'perish2'])
check_effects(g2.opp_poke_effects, ['perish3', 'perish2'])
check_effects(g2.poke_effects, ['perish3', 'perish2', 'telekinesis',
'aquaring'])
check_effects(g1.opp_poke_effects, ['perish3', 'perish2', 'telekinesis',
'aquaring'])
#p1 leechseed, p2 aquaring
self.sim_runner.run_actions(silent=silent)
self.sim_runner.run_until_request(silent=silent)
check_effects(g1.poke_effects, ['perish3', 'perish2', 'perish1'])
check_effects(g2.opp_poke_effects, ['perish3', 'perish2', 'perish1'])
check_effects(g2.poke_effects, ['perish3', 'perish2', 'perish1',
'telekinesis', 'aquaring', 'leechseed'])
check_effects(g1.opp_poke_effects, ['perish3', 'perish2', 'perish1',
'telekinesis', 'aquaring', 'leechseed'])
#p1 smeargle, p2 aquaring
self.sim_runner.run_actions(silent=silent)
self.sim_runner.run_until_request(silent=silent)
check_effects(g1.poke_effects, [])
check_effects(g2.opp_poke_effects, [])
self.assertEqual(g2.active.status, 'fnt')
def test_transform(self):
print('Testing transform...')
silent = True
team1 = '|ditto||H|transform|||||||]|mew|||transform|||||||'
team2 = '|porygonz||H|agility,conversion|||||||'
self.agent1.set_actions(['team 1', 'switch 2', 'move 1', 'switch 2', 'switch 2'])
self.agent2.set_actions(['team 1', 'move 1', 'move 2', 'move 2', 'move 2'])
g1 = self.agent1.game_data
g2 = self.agent2.game_data
self.sim_runner.start('ubers', team1, team2)
self.sim_runner.run_until_request(silent=silent)
#p1 ditto, p2 porygonz
self.sim_runner.run_actions(silent=silent)
self.sim_runner.run_until_request(silent=silent)
self.assertTrue(g1.active.transformed)
self.assertEqual(g1.active.moves[0].name, 'agility')
self.assertEqual(g1.active.moves[1].name, 'conversion')
self.assertEqual(g1.opp_active.moves[0].name, 'agility')
self.assertEqual(g1.opp_active.moves[1].name, 'conversion')
self.assertEqual(g2.active.moves[0].name, 'agility')
self.assertEqual(g2.active.moves[1].name, 'conversion')
self.assertEqual(g2.opp_active.moves[0].name, 'agility')
self.assertEqual(g2.opp_active.moves[1].name, 'conversion')
self.assertEqual(g1.active.ability, 'analytic')
self.assertEqual(g1.opp_active.ability, 'analytic')
self.assertEqual(g1.active.types, ['normal'])
self.assertEqual(g2.opp_active.ability, 'analytic')
self.assertEqual(g2.opp_active.base_ability, 'imposter')
#p1 mew, p2 agility
self.sim_runner.run_actions(silent=silent)
self.sim_runner.run_until_request(silent=silent)
self.assertEqual(g1.active.ability, 'synchronize')
self.assertEqual(g2.opp_active.name, 'mew')
self.assertEqual(g2.opp_active.ability, 'synchronize')
#p1 transform, p2 conversion
self.sim_runner.run_actions(silent=silent)
self.sim_runner.run_until_request(silent=silent)
self.assertTrue(g1.active.transformed)
self.assertEqual(g1.boost_list(), [0,0,0,0,2,0,0])
self.assertEqual(g1.active.types, ['psychic'])
self.assertEqual(g1.active.ability, 'analytic')
self.assertEqual(g2.opp_boost_list(), [0,0,0,0,2,0,0])
self.assertEqual(g2.opp_active.types, ['psychic'])
self.assertEqual(g2.opp_active.ability, 'analytic')
self.assertEqual(g2.opp_active.moves[0].name, 'agility')
self.assertEqual(g2.opp_active.moves[1].name, 'conversion')
#p1 ditto, p2 conversion
self.sim_runner.run_actions(silent=silent)
self.sim_runner.run_until_request(silent=silent)
self.assertEqual(g1.active.moves[0].name, 'agility')
self.assertEqual(g1.active.moves[1].name, 'conversion')
self.assertEqual(g1.opp_active.moves[0].name, 'agility')
self.assertEqual(g1.opp_active.moves[1].name, 'conversion')
self.assertEqual(g2.active.moves[0].name, 'agility')
self.assertEqual(g2.active.moves[1].name, 'conversion')
self.assertEqual(g2.opp_active.moves[0].name, 'agility')
self.assertEqual(g2.opp_active.moves[1].name, 'conversion')
self.assertEqual(g1.boost_list(), [0,0,0,0,2,0,0])
self.assertEqual(g1.active.ability, 'analytic')
self.assertEqual(g1.opp_active.ability, 'analytic')
self.assertEqual(g1.active.types, ['psychic'])
self.assertEqual(g2.opp_boost_list(), [0,0,0,0,2,0,0])
self.assertEqual(g2.opp_active.types, ['psychic'])
self.assertEqual(g2.opp_active.ability, 'analytic')
self.assertEqual(g2.opp_active.base_ability, 'imposter')
#p1 mew, p2 conversion
self.sim_runner.run_actions(silent=silent)
self.sim_runner.run_until_request(silent=silent)
self.assertFalse(g1.active.transformed)
self.assertEqual(g1.active.ability, 'synchronize')
self.assertEqual(g2.opp_active.ability, 'synchronize')
self.assertEqual(g2.opp_active.moves[0].name, 'transform')
if __name__ == '__main__':
logging.basicConfig(filename='showdown.log', level=logging.INFO)
unittest.main()
| 49.033865 | 89 | 0.641235 | 3,242 | 24,615 | 4.703578 | 0.069093 | 0.022559 | 0.025575 | 0.118565 | 0.81002 | 0.799856 | 0.758279 | 0.732441 | 0.684438 | 0.652436 | 0 | 0.040883 | 0.209019 | 24,615 | 501 | 90 | 49.131737 | 0.742322 | 0.050579 | 0 | 0.570115 | 0 | 0 | 0.136553 | 0.054595 | 0 | 0 | 0 | 0 | 0.363218 | 1 | 0.032184 | false | 0 | 0.011494 | 0 | 0.050575 | 0.022989 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 |
183a4e36bd599145529526ee1f272184c3b2015f | 166 | py | Python | webscrapers/B3derivatives/example_b3_scrapper.py | renanamp/FinanceHub | 55b06577a431e7e53de17183444456d28a096bc1 | [
"MIT"
] | null | null | null | webscrapers/B3derivatives/example_b3_scrapper.py | renanamp/FinanceHub | 55b06577a431e7e53de17183444456d28a096bc1 | [
"MIT"
] | null | null | null | webscrapers/B3derivatives/example_b3_scrapper.py | renanamp/FinanceHub | 55b06577a431e7e53de17183444456d28a096bc1 | [
"MIT"
] | 1 | 2019-08-06T02:45:08.000Z | 2019-08-06T02:45:08.000Z | import pandas as pd
from webscrapers import ScraperB3
b3 = ScraperB3()
df = b3.scrape('DI1', pd.to_datetime('2018-08-01'), pd.to_datetime('2018-08-10'))
print(df)
| 18.444444 | 81 | 0.716867 | 28 | 166 | 4.178571 | 0.642857 | 0.068376 | 0.205128 | 0.273504 | 0.307692 | 0 | 0 | 0 | 0 | 0 | 0 | 0.143836 | 0.120482 | 166 | 8 | 82 | 20.75 | 0.657534 | 0 | 0 | 0 | 0 | 0 | 0.138554 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.4 | 0 | 0.4 | 0.2 | 1 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 5 |
a10625bf81b5e04d6f9dcc3d05f0c4041a808410 | 599 | py | Python | exercicios/ex009.py | grievous0/Python_exercises | d1bef850c6d0205ff55c6a059e2bff382871853e | [
"MIT"
] | null | null | null | exercicios/ex009.py | grievous0/Python_exercises | d1bef850c6d0205ff55c6a059e2bff382871853e | [
"MIT"
] | null | null | null | exercicios/ex009.py | grievous0/Python_exercises | d1bef850c6d0205ff55c6a059e2bff382871853e | [
"MIT"
] | null | null | null | # Faça um programa que leia um número Inteiro qualquer e mostre na tela a sua tabuada.
n = int(input('Digite um número: '))
print('-' * 24)
print('{} x {:2} = {}'.format(n, 1, (n*1)))
print('{} x {:2} = {}'.format(n, 2, (n * 2)))
print('{} x {:2} = {}'.format(n, 3, n * 3))
print('{} x {:2} = {}'.format(n, 4, n * 4))
print('{} x {:2} = {}'.format(n, 5, n * 5))
print('{} x {:2} = {}'.format(n, 6, n * 6))
print('{} x {:2} = {}'.format(n, 7, n * 7))
print('{} x {:2} = {}'.format(n, 8, n * 8))
print('{} x {:2} = {}'.format(n, 9, n * 9))
print('{} x {:3} = {}'.format(n, 10, n * 10))
print('-' * 24) | 42.785714 | 86 | 0.462437 | 106 | 599 | 2.613208 | 0.311321 | 0.216607 | 0.227437 | 0.422383 | 0.454874 | 0 | 0 | 0 | 0 | 0 | 0 | 0.074534 | 0.193656 | 599 | 14 | 87 | 42.785714 | 0.498965 | 0.140234 | 0 | 0.153846 | 0 | 0 | 0.311284 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.923077 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 5 |
a1264389e959d6c66a3c095e7edf8066e1a07c68 | 1,649 | py | Python | Using MySQL/utils/search.py | Geervanireddy16/online-bookstore-management | 91da06bc311fa8747c72beda60a3aedea7e5dbf6 | [
"MIT"
] | 3 | 2021-12-05T07:51:41.000Z | 2022-03-30T06:33:18.000Z | Using MySQL/utils/search.py | Geervanireddy16/online-bookstore-management | 91da06bc311fa8747c72beda60a3aedea7e5dbf6 | [
"MIT"
] | 1 | 2021-12-05T08:58:46.000Z | 2021-12-05T08:58:46.000Z | Using MySQL/utils/search.py | Geervanireddy16/online-bookstore-management | 91da06bc311fa8747c72beda60a3aedea7e5dbf6 | [
"MIT"
] | null | null | null | def searchTitle(mysql,query):
cur = mysql.connection.cursor()
cur.execute("SELECT b.bookID,a.authorID,b.publisherID,b.title,b.genre,b.publicationYear,b.price,a.firstName,a.lastName FROM Books as b,Authors as a WHERE title LIKE %s AND b.authorID = a.authorID",({'%' + query + '%'}))
booksData = list(cur.fetchall())
mysql.connection.commit()
cur.close()
return booksData
def searchGenre(mysql,query):
cur = mysql.connection.cursor()
cur.execute("SELECT b.bookID,a.authorID,b.publisherID,b.title,b.genre,b.publicationYear,b.price,a.firstName,a.lastName FROM Books as b, Authors as a WHERE b.genre LIKE %s AND b.authorID = a.authorID",({'%' + query + '%'}))
booksData = list(cur.fetchall())
mysql.connection.commit()
cur.close()
return booksData
def searchAuthor(mysql,query):
cur = mysql.connection.cursor()
cur.execute("SELECT b.bookID,a.authorID,b.publisherID,b.title,b.genre,b.publicationYear,b.price,a.firstName,a.lastName FROM Books as b,Authors as a WHERE a.firstName LIKE %s AND b.authorID = a.authorID",({'%' + query + '%'}))
list1Data = list(cur.fetchall()) # search query matching with the first name of the author
cur.execute("SELECT b.bookID,a.authorID,b.publisherID,b.title,b.genre,b.publicationYear,b.price,a.firstName,a.lastName FROM Books as b,Authors as a WHERE a.lastName LIKE %s AND b.authorID = a.authorID",({'%' + query + '%'}))
list2Data = list(cur.fetchall()) # search query matching with the last name of the author
booksData = list(set(list1Data) | set(list2Data)) # without repition
mysql.connection.commit()
cur.close()
return booksData | 63.423077 | 229 | 0.707095 | 244 | 1,649 | 4.778689 | 0.204918 | 0.06175 | 0.054889 | 0.058319 | 0.850772 | 0.850772 | 0.850772 | 0.813036 | 0.689537 | 0.689537 | 0 | 0.002833 | 0.143723 | 1,649 | 26 | 230 | 63.423077 | 0.822946 | 0.077016 | 0 | 0.583333 | 0 | 0.166667 | 0.493746 | 0.258065 | 0 | 0 | 0 | 0 | 0 | 1 | 0.125 | false | 0 | 0 | 0 | 0.25 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 |
a15fd89de5f7927b54501d060c6c1e52b1f89632 | 196 | py | Python | openpecha/serializers/__init__.py | ta4tsering/openpecha-toolkit | ff24b4813fb8146a4327e746e4024890b6807bea | [
"Apache-2.0"
] | 1 | 2021-12-08T04:47:40.000Z | 2021-12-08T04:47:40.000Z | openpecha/serializers/__init__.py | ta4tsering/openpecha-toolkit | ff24b4813fb8146a4327e746e4024890b6807bea | [
"Apache-2.0"
] | 38 | 2019-11-12T10:49:25.000Z | 2021-04-07T12:10:24.000Z | openpecha/serializers/__init__.py | OpenPecha/openpecha | 73359686e2b3a703c6018aecbffe7adb4f485c88 | [
"Apache-2.0"
] | 6 | 2021-08-30T04:02:15.000Z | 2021-12-27T03:39:41.000Z | from .docx import DocxSerializer
from .editor import EditorSerializer
from .epub import EpubSerializer
from .hfml import HFMLSerializer
from .pedurma import PedurmaSerializer
from .rdf import Rdf
| 28 | 38 | 0.846939 | 24 | 196 | 6.916667 | 0.541667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.122449 | 196 | 6 | 39 | 32.666667 | 0.965116 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 5 |
a1620e20d1076e3b45fc8d196c0d3296d544677f | 8,744 | py | Python | uravu/tests/test_relationship.py | symmy596/uravu | 3bf50effcf9505b07bcbc8fc7ea38dc2bcafb44a | [
"MIT"
] | null | null | null | uravu/tests/test_relationship.py | symmy596/uravu | 3bf50effcf9505b07bcbc8fc7ea38dc2bcafb44a | [
"MIT"
] | null | null | null | uravu/tests/test_relationship.py | symmy596/uravu | 3bf50effcf9505b07bcbc8fc7ea38dc2bcafb44a | [
"MIT"
] | null | null | null | """
Tests for relationship module
"""
# Copyright (c) Andrew R. McCluskey
# Distributed under the terms of the MIT License
# author: Andrew R. McCluskey
import unittest
import numpy as np
import scipy.stats
from uncertainties import unumpy as unp
from numpy.testing import assert_almost_equal, assert_equal
from uravu import utils
from uravu.relationship import Relationship
from uravu.distribution import Distribution
from uravu.axis import Axis
TEST_Y = []
for i in np.arange(1, 9, 1):
TEST_Y.append(Distribution(scipy.stats.norm.rvs(loc=i, scale=0.5, size=200)))
TEST_X = np.arange(1, 9, 1)
class TestRelationship(unittest.TestCase):
"""
Tests for the relationship module and class.
"""
def test_function_init(self):
r = Relationship(utils.straight_line, TEST_X, TEST_Y)
assert_equal(r.function, utils.straight_line)
def test_abscissa_init(self):
r = Relationship(utils.straight_line, TEST_X, TEST_Y)
assert_equal(isinstance(r.abscissa, np.ndarray), True)
assert_equal(r.abscissa, TEST_X)
def test_ordinate_init(self):
r = Relationship(utils.straight_line, TEST_X, TEST_Y)
assert_equal(isinstance(r.ordinate, Axis), True)
assert_equal(r.ordinate.values, TEST_Y)
def test_ordinate_no_distribution(self):
with self.assertRaises(ValueError):
Relationship(utils.straight_line, TEST_X, TEST_X)
def test_ordinate_and_ordinate_error(self):
r = Relationship(utils.straight_line, TEST_X, TEST_X, ordinate_error=[1]*len(TEST_X))
assert_equal(r.x, TEST_X)
assert_almost_equal(r.y.n, TEST_X, decimal=0)
assert_almost_equal(r.y.s, np.ones((2, len(TEST_X))) * 1.96, decimal=1)
def test_ordinate_stats(self):
test_y = []
for i in np.arange(1, 9, 1):
test_y.append(scipy.stats.lognorm(i, 1, 1))
r = Relationship(utils.straight_line, TEST_X, test_y)
assert_equal(isinstance(r.ordinate, Axis), True)
def test_ordinate_and_abscissa_different_length(self):
with self.assertRaises(ValueError):
Relationship(utils.straight_line, np.arange(1, 8, 1), TEST_Y)
def test_bounds_init(self):
r = Relationship(utils.straight_line, TEST_X, TEST_Y, bounds=((0, 10), (-1, 1)))
assert_equal(r.bounds, ((0, 10), (-1, 1)))
def test_variables_init(self):
r = Relationship(utils.straight_line, TEST_X, TEST_Y)
assert_almost_equal(r.variables[0].n, 1)
assert_almost_equal(r.variables[1].n, 1)
def test_bounds_init_wrong_number_a(self):
with self.assertRaises(ValueError):
Relationship(utils.straight_line, TEST_X, TEST_Y, bounds=((0, 10), (-1, 1), (1, 2)))
def test_bounds_init_wrong_number_b(self):
with self.assertRaises(ValueError):
Relationship(utils.straight_line, TEST_X, TEST_Y, bounds=((0, 10)))
def test_variables_init_with_bounds(self):
r = Relationship(utils.straight_line, TEST_X, TEST_Y, bounds=((0, 10), (-1, 1)))
assert_equal(np.isclose(r.variables[0].n, 5, atol=0.75), True)
assert_equal(np.isclose(r.variables[1].n, 0, atol=0.5), True)
def test_ln_evidence_init(self):
r = Relationship(utils.straight_line, TEST_X, TEST_Y)
assert_equal(r.ln_evidence, None)
def test_mcmc_results_init(self):
r = Relationship(utils.straight_line, TEST_X, TEST_Y)
assert_equal(r.mcmc_results, None)
def test_nested_sampling_results_init(self):
r = Relationship(utils.straight_line, TEST_X, TEST_Y)
assert_equal(r.nested_sampling_results, None)
def test_x(self):
r = Relationship(utils.straight_line, TEST_X, TEST_Y)
assert_equal(isinstance(r.x, np.ndarray), True)
assert_equal(r.x, TEST_X)
def test_y(self):
r = Relationship(utils.straight_line, TEST_X, TEST_Y)
assert_equal(isinstance(r.y, Axis), True)
assert_equal(r.y.values, TEST_Y)
def test_variable_medians(self):
r = Relationship(utils.straight_line, TEST_X, TEST_Y, bounds=((0, 10), (-1, 1)))
r.max_likelihood('diff_evo')
assert_equal(np.allclose(r.variable_medians, [1, 0], atol=1.5), True)
def test_variable_modes(self):
r = Relationship(utils.straight_line, TEST_X, TEST_Y, bounds=((0, 10), (-1, 1)))
r.max_likelihood('diff_evo')
r.mcmc(n_burn=10, n_samples=10, progress=False, walkers=5)
assert_equal(np.allclose(r.variable_modes, [1, 0], atol=1.5), True)
def test_variable_modes_no_sampling(self):
r = Relationship(utils.straight_line, TEST_X, TEST_Y, bounds=((0, 10), (-1, 1)))
r.max_likelihood('diff_evo')
assert_equal(np.allclose(r.variable_modes, [1, 0], atol=1.5), True)
def test_mcmc_done(self):
r = Relationship(utils.straight_line, TEST_X, TEST_Y, bounds=((0, 10), (-1, 1)))
r.mcmc(n_burn=10, n_samples=10, progress=False, walkers=5)
assert_equal(r.mcmc_done, True)
def test_mcmc_not_done(self):
r = Relationship(utils.straight_line, TEST_X, TEST_Y, bounds=((0, 10), (-1, 1)))
assert_equal(r.mcmc_done, False)
def test_nested_sampling_done(self):
r = Relationship(utils.straight_line, TEST_X, TEST_Y, bounds=((0, 10), (-1, 1)))
r.nested_sampling(maxiter=100, progress=False)
assert_equal(r.nested_sampling_done, True)
def test_nested_sampling_not_done(self):
r = Relationship(utils.straight_line, TEST_X, TEST_Y, bounds=((0, 10), (-1, 1)))
assert_equal(r.nested_sampling_done, False)
def test_get_sample(self):
r = Relationship(utils.straight_line, TEST_X, TEST_Y, bounds=((0, 10), (-1, 1)))
r.nested_sampling(maxiter=100, progress=False)
assert_equal(isinstance(r.get_sample(1), list), True)
def test_len_parameters(self):
r = Relationship(utils.straight_line, TEST_X, TEST_Y)
assert_equal(r.len_parameters, 2)
def test_bayesian_information_criteria(self):
r = Relationship(utils.straight_line, TEST_X, TEST_Y, bounds=((0, 10), (-1, 1)))
assert_equal(isinstance(r.bayesian_information_criteria(), float), True)
def test_max_likelihood(self):
r = Relationship(utils.straight_line, TEST_X, TEST_Y, bounds=((0, 10), (-1, 1)))
r.max_likelihood('diff_evo')
assert_equal(isinstance(r.variables[0], Distribution), True)
assert_equal(isinstance(r.variables[1], Distribution), True)
assert_equal(np.isclose(r.variables[0].n, 1, atol=0.75), True)
assert_equal(np.isclose(r.variables[1].n, 0, atol=0.75), True)
def test_prior(self):
r = Relationship(utils.straight_line, TEST_X, TEST_Y)
priors = r.prior()
assert_equal(len(priors), 2)
assert_equal(isinstance(priors[0], scipy.stats._distn_infrastructure.rv_frozen), True)
assert_equal(isinstance(priors[1], scipy.stats._distn_infrastructure.rv_frozen), True)
assert_equal(priors[0].interval(1), [-9, 11])
assert_equal(priors[1].interval(1), [-9, 11])
def test_prior_with_bounds(self):
r = Relationship(utils.straight_line, TEST_X, TEST_Y, bounds=((0, 10), (-1, 1)))
priors = r.prior()
assert_equal(len(priors), 2)
assert_equal(isinstance(priors[0], scipy.stats._distn_infrastructure.rv_frozen), True)
assert_equal(isinstance(priors[1], scipy.stats._distn_infrastructure.rv_frozen), True)
assert_equal(priors[0].interval(1), [0, 10])
assert_equal(priors[1].interval(1), [-1, 1])
def test_mcmc(self):
r = Relationship(utils.straight_line, TEST_X, TEST_Y, bounds=((0, 10), (-1, 1)))
r.mcmc(n_burn=10, n_samples=10, progress=False, walkers=5)
assert_equal(isinstance(r.variables[0], Distribution), True)
assert_equal(isinstance(r.variables[1], Distribution), True)
assert_equal(r.variables[0].size, 50)
assert_equal(r.variables[1].size, 50)
assert_equal(r.variables[0].min > 0, True)
assert_equal(r.variables[0].max < 10, True)
assert_equal(r.variables[1].min > -1, True)
assert_equal(r.variables[1].max < 1, True)
def test_nested_sampling(self):
r = Relationship(utils.straight_line, TEST_X, TEST_Y, bounds=((0, 10), (-1, 1)))
r.nested_sampling(maxiter=100, progress=False)
assert_equal(isinstance(r.variables[0], Distribution), True)
assert_equal(isinstance(r.variables[1], Distribution), True)
assert_equal(r.variables[0].min > 0, True)
assert_equal(r.variables[0].max < 10, True)
assert_equal(r.variables[1].min > -1, True)
assert_equal(r.variables[1].max < 1, True)
| 43.073892 | 96 | 0.67086 | 1,287 | 8,744 | 4.31857 | 0.106449 | 0.110831 | 0.100936 | 0.166967 | 0.779057 | 0.72652 | 0.68082 | 0.68082 | 0.672904 | 0.653832 | 0 | 0.032973 | 0.195334 | 8,744 | 202 | 97 | 43.287129 | 0.756964 | 0.021043 | 0 | 0.448718 | 0 | 0 | 0.003749 | 0 | 0 | 0 | 0 | 0 | 0.410256 | 1 | 0.205128 | false | 0 | 0.057692 | 0 | 0.269231 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 |
a18e82160215f4c2fe89024222269ed70e73f81b | 174 | py | Python | advent_of_code/day_03/__main__.py | novotl/advent_of_code | 07e14d2107efcdecce8355b718d93cd1ac9edd4a | [
"MIT"
] | null | null | null | advent_of_code/day_03/__main__.py | novotl/advent_of_code | 07e14d2107efcdecce8355b718d93cd1ac9edd4a | [
"MIT"
] | null | null | null | advent_of_code/day_03/__main__.py | novotl/advent_of_code | 07e14d2107efcdecce8355b718d93cd1ac9edd4a | [
"MIT"
] | null | null | null | from .solution import Puzzle
from advent_of_code.runner import attach_cli
from pathlib import Path
if __name__ == "__main__":
attach_cli(Puzzle, Path(__file__).parent)
| 21.75 | 45 | 0.787356 | 25 | 174 | 4.84 | 0.68 | 0.14876 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.137931 | 174 | 7 | 46 | 24.857143 | 0.806667 | 0 | 0 | 0 | 0 | 0 | 0.045977 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.6 | 0 | 0.6 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 5 |
a18ee387df6b5e94d10011ebbb570145c96fad71 | 56 | py | Python | test_files/test_flatten.py | slash-segmentation/DP2 | 6f768e4b8a75a3ab2bf1359ae94704332426a4d6 | [
"Unlicense"
] | null | null | null | test_files/test_flatten.py | slash-segmentation/DP2 | 6f768e4b8a75a3ab2bf1359ae94704332426a4d6 | [
"Unlicense"
] | null | null | null | test_files/test_flatten.py | slash-segmentation/DP2 | 6f768e4b8a75a3ab2bf1359ae94704332426a4d6 | [
"Unlicense"
] | null | null | null |
from cytoseg_util import *
print flatten([[1], [2]])
| 9.333333 | 26 | 0.642857 | 8 | 56 | 4.375 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.043478 | 0.178571 | 56 | 5 | 27 | 11.2 | 0.717391 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.5 | null | null | 0.5 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 5 |
a1cc05e66b108a198a82ca5deefd0579b79b8300 | 107 | py | Python | utilities/asserts.py | kriss-u/selenium-python-framework | d4f6416de25c955861f6d8a099a780c702693b63 | [
"MIT"
] | null | null | null | utilities/asserts.py | kriss-u/selenium-python-framework | d4f6416de25c955861f6d8a099a780c702693b63 | [
"MIT"
] | 6 | 2021-04-26T16:12:48.000Z | 2021-04-29T17:05:33.000Z | utilities/asserts.py | kriss-u/selenium-python-framework | d4f6416de25c955861f6d8a099a780c702693b63 | [
"MIT"
] | null | null | null | def assert_in_all(search_term, results):
for item in results:
assert search_term in item.text
| 21.4 | 40 | 0.719626 | 17 | 107 | 4.294118 | 0.588235 | 0.273973 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.224299 | 107 | 4 | 41 | 26.75 | 0.879518 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.666667 | 1 | 0.333333 | false | 0 | 0 | 0 | 0.333333 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 |
a1fb73e0db1db12454a56b84c590386dea63777b | 11 | py | Python | vendor/mujoco_models/hello.py | Mee321/HAPG_exp | ccd0d92ad2ffcd8438efbd6bc09123a4c3aafabe | [
"MIT"
] | 3 | 2019-08-11T22:26:55.000Z | 2020-11-28T10:23:50.000Z | vendor/mujoco_models/hello.py | Mee321/HAPG_exp | ccd0d92ad2ffcd8438efbd6bc09123a4c3aafabe | [
"MIT"
] | null | null | null | vendor/mujoco_models/hello.py | Mee321/HAPG_exp | ccd0d92ad2ffcd8438efbd6bc09123a4c3aafabe | [
"MIT"
] | 2 | 2019-08-11T22:30:14.000Z | 2021-03-25T02:57:50.000Z | print("H")
| 5.5 | 10 | 0.545455 | 2 | 11 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.090909 | 11 | 1 | 11 | 11 | 0.6 | 0 | 0 | 0 | 0 | 0 | 0.090909 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 5 |
b809cb6bd38eb7f77dbe97c44db89986106619b7 | 257 | py | Python | filabel/__init__.py | MartinMalyMM/MI-PYT | 51bc230fe9c8bcbda40cf86c31e17dc87ad8a3ad | [
"MIT"
] | null | null | null | filabel/__init__.py | MartinMalyMM/MI-PYT | 51bc230fe9c8bcbda40cf86c31e17dc87ad8a3ad | [
"MIT"
] | null | null | null | filabel/__init__.py | MartinMalyMM/MI-PYT | 51bc230fe9c8bcbda40cf86c31e17dc87ad8a3ad | [
"MIT"
] | null | null | null | from .cli_app import main
from .web_app import create_app
# For testing reasons
from .commons import find_labels
from .commons import find_pulls
from .commons import find_pull_files
from .commons import find_pull_labels
__all__ = ['main', 'create_app']
| 21.416667 | 37 | 0.801556 | 40 | 257 | 4.8 | 0.425 | 0.229167 | 0.354167 | 0.4375 | 0.260417 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.140078 | 257 | 11 | 38 | 23.363636 | 0.868778 | 0.07393 | 0 | 0 | 0 | 0 | 0.059322 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.857143 | 0 | 0.857143 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 5 |
6294f0acd59d4b67973380f81829f38a59288a31 | 33,786 | py | Python | python/dazl/_gen/com/daml/ledger/api/v1/value_pb2.py | digital-asset/dazl-client | 5d54edaea26d7704cc8d73e5945b37ed2806265b | [
"Apache-2.0"
] | 8 | 2019-09-08T09:41:03.000Z | 2022-02-19T12:54:30.000Z | python/dazl/_gen/com/daml/ledger/api/v1/value_pb2.py | digital-asset/dazl-client | 5d54edaea26d7704cc8d73e5945b37ed2806265b | [
"Apache-2.0"
] | 55 | 2019-05-30T23:00:31.000Z | 2022-01-24T01:51:32.000Z | python/dazl/_gen/com/daml/ledger/api/v1/value_pb2.py | digital-asset/dazl-client | 5d54edaea26d7704cc8d73e5945b37ed2806265b | [
"Apache-2.0"
] | 9 | 2019-06-30T18:15:27.000Z | 2021-12-03T10:15:27.000Z | # Copyright (c) 2017-2021 Digital Asset (Switzerland) GmbH and/or its affiliates. All rights reserved.
# SPDX-License-Identifier: Apache-2.0
# fmt: off
# isort: skip_file
# -*- coding: utf-8 -*-
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: com/daml/ledger/api/v1/value.proto
"""Generated protocol buffer code."""
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection as _reflection
from google.protobuf import symbol_database as _symbol_database
# @@protoc_insertion_point(imports)
_sym_db = _symbol_database.Default()
from google.protobuf import empty_pb2 as google_dot_protobuf_dot_empty__pb2
DESCRIPTOR = _descriptor.FileDescriptor(
name='com/daml/ledger/api/v1/value.proto',
package='com.daml.ledger.api.v1',
syntax='proto3',
serialized_options=b'\n\026com.daml.ledger.api.v1B\017ValueOuterClassZOgithub.com/digital-asset/dazl-client/go/v7/pkg/generated/com/daml/ledger/api/v1\252\002\026Com.Daml.Ledger.Api.V1',
create_key=_descriptor._internal_create_key,
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,
dependencies=[google_dot_protobuf_dot_empty__pb2.DESCRIPTOR,])
_VALUE = _descriptor.Descriptor(
name='Value',
full_name='com.daml.ledger.api.v1.Value',
filename=None,
file=DESCRIPTOR,
containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[
_descriptor.FieldDescriptor(
name='record', full_name='com.daml.ledger.api.v1.Value.record', index=0,
number=1, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, json_name='record', file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='variant', full_name='com.daml.ledger.api.v1.Value.variant', index=1,
number=2, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, json_name='variant', file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='contract_id', full_name='com.daml.ledger.api.v1.Value.contract_id', index=2,
number=3, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=b"".decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, json_name='contractId', file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='list', full_name='com.daml.ledger.api.v1.Value.list', index=3,
number=4, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, json_name='list', file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='int64', full_name='com.daml.ledger.api.v1.Value.int64', index=4,
number=5, type=18, cpp_type=2, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=b'0\001', json_name='int64', file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='numeric', full_name='com.daml.ledger.api.v1.Value.numeric', index=5,
number=6, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=b"".decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, json_name='numeric', file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='text', full_name='com.daml.ledger.api.v1.Value.text', index=6,
number=8, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=b"".decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, json_name='text', file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='timestamp', full_name='com.daml.ledger.api.v1.Value.timestamp', index=7,
number=9, type=16, cpp_type=2, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=b'0\001', json_name='timestamp', file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='party', full_name='com.daml.ledger.api.v1.Value.party', index=8,
number=11, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=b"".decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, json_name='party', file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='bool', full_name='com.daml.ledger.api.v1.Value.bool', index=9,
number=12, type=8, cpp_type=7, label=1,
has_default_value=False, default_value=False,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, json_name='bool', file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='unit', full_name='com.daml.ledger.api.v1.Value.unit', index=10,
number=13, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, json_name='unit', file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='date', full_name='com.daml.ledger.api.v1.Value.date', index=11,
number=14, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, json_name='date', file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='optional', full_name='com.daml.ledger.api.v1.Value.optional', index=12,
number=15, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, json_name='optional', file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='map', full_name='com.daml.ledger.api.v1.Value.map', index=13,
number=16, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, json_name='map', file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='enum', full_name='com.daml.ledger.api.v1.Value.enum', index=14,
number=17, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, json_name='enum', file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='gen_map', full_name='com.daml.ledger.api.v1.Value.gen_map', index=15,
number=18, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, json_name='genMap', file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto3',
extension_ranges=[],
oneofs=[
_descriptor.OneofDescriptor(
name='Sum', full_name='com.daml.ledger.api.v1.Value.Sum',
index=0, containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[]),
],
serialized_start=92,
serialized_end=764,
)
_RECORD = _descriptor.Descriptor(
name='Record',
full_name='com.daml.ledger.api.v1.Record',
filename=None,
file=DESCRIPTOR,
containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[
_descriptor.FieldDescriptor(
name='record_id', full_name='com.daml.ledger.api.v1.Record.record_id', index=0,
number=1, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, json_name='recordId', file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='fields', full_name='com.daml.ledger.api.v1.Record.fields', index=1,
number=2, type=11, cpp_type=10, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, json_name='fields', file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto3',
extension_ranges=[],
oneofs=[
],
serialized_start=767,
serialized_end=901,
)
_RECORDFIELD = _descriptor.Descriptor(
name='RecordField',
full_name='com.daml.ledger.api.v1.RecordField',
filename=None,
file=DESCRIPTOR,
containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[
_descriptor.FieldDescriptor(
name='label', full_name='com.daml.ledger.api.v1.RecordField.label', index=0,
number=1, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=b"".decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, json_name='label', file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='value', full_name='com.daml.ledger.api.v1.RecordField.value', index=1,
number=2, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, json_name='value', file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto3',
extension_ranges=[],
oneofs=[
],
serialized_start=903,
serialized_end=991,
)
_IDENTIFIER = _descriptor.Descriptor(
name='Identifier',
full_name='com.daml.ledger.api.v1.Identifier',
filename=None,
file=DESCRIPTOR,
containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[
_descriptor.FieldDescriptor(
name='package_id', full_name='com.daml.ledger.api.v1.Identifier.package_id', index=0,
number=1, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=b"".decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, json_name='packageId', file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='module_name', full_name='com.daml.ledger.api.v1.Identifier.module_name', index=1,
number=3, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=b"".decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, json_name='moduleName', file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='entity_name', full_name='com.daml.ledger.api.v1.Identifier.entity_name', index=2,
number=4, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=b"".decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, json_name='entityName', file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto3',
extension_ranges=[],
oneofs=[
],
serialized_start=993,
serialized_end=1108,
)
_VARIANT = _descriptor.Descriptor(
name='Variant',
full_name='com.daml.ledger.api.v1.Variant',
filename=None,
file=DESCRIPTOR,
containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[
_descriptor.FieldDescriptor(
name='variant_id', full_name='com.daml.ledger.api.v1.Variant.variant_id', index=0,
number=1, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, json_name='variantId', file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='constructor', full_name='com.daml.ledger.api.v1.Variant.constructor', index=1,
number=2, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=b"".decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, json_name='constructor', file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='value', full_name='com.daml.ledger.api.v1.Variant.value', index=2,
number=3, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, json_name='value', file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto3',
extension_ranges=[],
oneofs=[
],
serialized_start=1111,
serialized_end=1274,
)
_ENUM = _descriptor.Descriptor(
name='Enum',
full_name='com.daml.ledger.api.v1.Enum',
filename=None,
file=DESCRIPTOR,
containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[
_descriptor.FieldDescriptor(
name='enum_id', full_name='com.daml.ledger.api.v1.Enum.enum_id', index=0,
number=1, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, json_name='enumId', file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='constructor', full_name='com.daml.ledger.api.v1.Enum.constructor', index=1,
number=2, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=b"".decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, json_name='constructor', file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto3',
extension_ranges=[],
oneofs=[
],
serialized_start=1276,
serialized_end=1377,
)
_LIST = _descriptor.Descriptor(
name='List',
full_name='com.daml.ledger.api.v1.List',
filename=None,
file=DESCRIPTOR,
containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[
_descriptor.FieldDescriptor(
name='elements', full_name='com.daml.ledger.api.v1.List.elements', index=0,
number=1, type=11, cpp_type=10, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, json_name='elements', file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto3',
extension_ranges=[],
oneofs=[
],
serialized_start=1379,
serialized_end=1444,
)
_OPTIONAL = _descriptor.Descriptor(
name='Optional',
full_name='com.daml.ledger.api.v1.Optional',
filename=None,
file=DESCRIPTOR,
containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[
_descriptor.FieldDescriptor(
name='value', full_name='com.daml.ledger.api.v1.Optional.value', index=0,
number=1, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, json_name='value', file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto3',
extension_ranges=[],
oneofs=[
],
serialized_start=1446,
serialized_end=1509,
)
_MAP_ENTRY = _descriptor.Descriptor(
name='Entry',
full_name='com.daml.ledger.api.v1.Map.Entry',
filename=None,
file=DESCRIPTOR,
containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[
_descriptor.FieldDescriptor(
name='key', full_name='com.daml.ledger.api.v1.Map.Entry.key', index=0,
number=1, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=b"".decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, json_name='key', file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='value', full_name='com.daml.ledger.api.v1.Map.Entry.value', index=1,
number=2, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, json_name='value', file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto3',
extension_ranges=[],
oneofs=[
],
serialized_start=1580,
serialized_end=1658,
)
_MAP = _descriptor.Descriptor(
name='Map',
full_name='com.daml.ledger.api.v1.Map',
filename=None,
file=DESCRIPTOR,
containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[
_descriptor.FieldDescriptor(
name='entries', full_name='com.daml.ledger.api.v1.Map.entries', index=0,
number=1, type=11, cpp_type=10, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, json_name='entries', file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
],
extensions=[
],
nested_types=[_MAP_ENTRY, ],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto3',
extension_ranges=[],
oneofs=[
],
serialized_start=1512,
serialized_end=1658,
)
_GENMAP_ENTRY = _descriptor.Descriptor(
name='Entry',
full_name='com.daml.ledger.api.v1.GenMap.Entry',
filename=None,
file=DESCRIPTOR,
containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[
_descriptor.FieldDescriptor(
name='key', full_name='com.daml.ledger.api.v1.GenMap.Entry.key', index=0,
number=1, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, json_name='key', file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='value', full_name='com.daml.ledger.api.v1.GenMap.Entry.value', index=1,
number=2, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, json_name='value', file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto3',
extension_ranges=[],
oneofs=[
],
serialized_start=1735,
serialized_end=1844,
)
_GENMAP = _descriptor.Descriptor(
name='GenMap',
full_name='com.daml.ledger.api.v1.GenMap',
filename=None,
file=DESCRIPTOR,
containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[
_descriptor.FieldDescriptor(
name='entries', full_name='com.daml.ledger.api.v1.GenMap.entries', index=0,
number=1, type=11, cpp_type=10, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, json_name='entries', file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
],
extensions=[
],
nested_types=[_GENMAP_ENTRY, ],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto3',
extension_ranges=[],
oneofs=[
],
serialized_start=1661,
serialized_end=1844,
)
_VALUE.fields_by_name['record'].message_type = _RECORD
_VALUE.fields_by_name['variant'].message_type = _VARIANT
_VALUE.fields_by_name['list'].message_type = _LIST
_VALUE.fields_by_name['unit'].message_type = google_dot_protobuf_dot_empty__pb2._EMPTY
_VALUE.fields_by_name['optional'].message_type = _OPTIONAL
_VALUE.fields_by_name['map'].message_type = _MAP
_VALUE.fields_by_name['enum'].message_type = _ENUM
_VALUE.fields_by_name['gen_map'].message_type = _GENMAP
_VALUE.oneofs_by_name['Sum'].fields.append(
_VALUE.fields_by_name['record'])
_VALUE.fields_by_name['record'].containing_oneof = _VALUE.oneofs_by_name['Sum']
_VALUE.oneofs_by_name['Sum'].fields.append(
_VALUE.fields_by_name['variant'])
_VALUE.fields_by_name['variant'].containing_oneof = _VALUE.oneofs_by_name['Sum']
_VALUE.oneofs_by_name['Sum'].fields.append(
_VALUE.fields_by_name['contract_id'])
_VALUE.fields_by_name['contract_id'].containing_oneof = _VALUE.oneofs_by_name['Sum']
_VALUE.oneofs_by_name['Sum'].fields.append(
_VALUE.fields_by_name['list'])
_VALUE.fields_by_name['list'].containing_oneof = _VALUE.oneofs_by_name['Sum']
_VALUE.oneofs_by_name['Sum'].fields.append(
_VALUE.fields_by_name['int64'])
_VALUE.fields_by_name['int64'].containing_oneof = _VALUE.oneofs_by_name['Sum']
_VALUE.oneofs_by_name['Sum'].fields.append(
_VALUE.fields_by_name['numeric'])
_VALUE.fields_by_name['numeric'].containing_oneof = _VALUE.oneofs_by_name['Sum']
_VALUE.oneofs_by_name['Sum'].fields.append(
_VALUE.fields_by_name['text'])
_VALUE.fields_by_name['text'].containing_oneof = _VALUE.oneofs_by_name['Sum']
_VALUE.oneofs_by_name['Sum'].fields.append(
_VALUE.fields_by_name['timestamp'])
_VALUE.fields_by_name['timestamp'].containing_oneof = _VALUE.oneofs_by_name['Sum']
_VALUE.oneofs_by_name['Sum'].fields.append(
_VALUE.fields_by_name['party'])
_VALUE.fields_by_name['party'].containing_oneof = _VALUE.oneofs_by_name['Sum']
_VALUE.oneofs_by_name['Sum'].fields.append(
_VALUE.fields_by_name['bool'])
_VALUE.fields_by_name['bool'].containing_oneof = _VALUE.oneofs_by_name['Sum']
_VALUE.oneofs_by_name['Sum'].fields.append(
_VALUE.fields_by_name['unit'])
_VALUE.fields_by_name['unit'].containing_oneof = _VALUE.oneofs_by_name['Sum']
_VALUE.oneofs_by_name['Sum'].fields.append(
_VALUE.fields_by_name['date'])
_VALUE.fields_by_name['date'].containing_oneof = _VALUE.oneofs_by_name['Sum']
_VALUE.oneofs_by_name['Sum'].fields.append(
_VALUE.fields_by_name['optional'])
_VALUE.fields_by_name['optional'].containing_oneof = _VALUE.oneofs_by_name['Sum']
_VALUE.oneofs_by_name['Sum'].fields.append(
_VALUE.fields_by_name['map'])
_VALUE.fields_by_name['map'].containing_oneof = _VALUE.oneofs_by_name['Sum']
_VALUE.oneofs_by_name['Sum'].fields.append(
_VALUE.fields_by_name['enum'])
_VALUE.fields_by_name['enum'].containing_oneof = _VALUE.oneofs_by_name['Sum']
_VALUE.oneofs_by_name['Sum'].fields.append(
_VALUE.fields_by_name['gen_map'])
_VALUE.fields_by_name['gen_map'].containing_oneof = _VALUE.oneofs_by_name['Sum']
_RECORD.fields_by_name['record_id'].message_type = _IDENTIFIER
_RECORD.fields_by_name['fields'].message_type = _RECORDFIELD
_RECORDFIELD.fields_by_name['value'].message_type = _VALUE
_VARIANT.fields_by_name['variant_id'].message_type = _IDENTIFIER
_VARIANT.fields_by_name['value'].message_type = _VALUE
_ENUM.fields_by_name['enum_id'].message_type = _IDENTIFIER
_LIST.fields_by_name['elements'].message_type = _VALUE
_OPTIONAL.fields_by_name['value'].message_type = _VALUE
_MAP_ENTRY.fields_by_name['value'].message_type = _VALUE
_MAP_ENTRY.containing_type = _MAP
_MAP.fields_by_name['entries'].message_type = _MAP_ENTRY
_GENMAP_ENTRY.fields_by_name['key'].message_type = _VALUE
_GENMAP_ENTRY.fields_by_name['value'].message_type = _VALUE
_GENMAP_ENTRY.containing_type = _GENMAP
_GENMAP.fields_by_name['entries'].message_type = _GENMAP_ENTRY
DESCRIPTOR.message_types_by_name['Value'] = _VALUE
DESCRIPTOR.message_types_by_name['Record'] = _RECORD
DESCRIPTOR.message_types_by_name['RecordField'] = _RECORDFIELD
DESCRIPTOR.message_types_by_name['Identifier'] = _IDENTIFIER
DESCRIPTOR.message_types_by_name['Variant'] = _VARIANT
DESCRIPTOR.message_types_by_name['Enum'] = _ENUM
DESCRIPTOR.message_types_by_name['List'] = _LIST
DESCRIPTOR.message_types_by_name['Optional'] = _OPTIONAL
DESCRIPTOR.message_types_by_name['Map'] = _MAP
DESCRIPTOR.message_types_by_name['GenMap'] = _GENMAP
_sym_db.RegisterFileDescriptor(DESCRIPTOR)
Value = _reflection.GeneratedProtocolMessageType('Value', (_message.Message,), {
'DESCRIPTOR' : _VALUE,
'__module__' : 'com.daml.ledger.api.v1.value_pb2'
# @@protoc_insertion_point(class_scope:com.daml.ledger.api.v1.Value)
})
_sym_db.RegisterMessage(Value)
Record = _reflection.GeneratedProtocolMessageType('Record', (_message.Message,), {
'DESCRIPTOR' : _RECORD,
'__module__' : 'com.daml.ledger.api.v1.value_pb2'
# @@protoc_insertion_point(class_scope:com.daml.ledger.api.v1.Record)
})
_sym_db.RegisterMessage(Record)
RecordField = _reflection.GeneratedProtocolMessageType('RecordField', (_message.Message,), {
'DESCRIPTOR' : _RECORDFIELD,
'__module__' : 'com.daml.ledger.api.v1.value_pb2'
# @@protoc_insertion_point(class_scope:com.daml.ledger.api.v1.RecordField)
})
_sym_db.RegisterMessage(RecordField)
Identifier = _reflection.GeneratedProtocolMessageType('Identifier', (_message.Message,), {
'DESCRIPTOR' : _IDENTIFIER,
'__module__' : 'com.daml.ledger.api.v1.value_pb2'
# @@protoc_insertion_point(class_scope:com.daml.ledger.api.v1.Identifier)
})
_sym_db.RegisterMessage(Identifier)
Variant = _reflection.GeneratedProtocolMessageType('Variant', (_message.Message,), {
'DESCRIPTOR' : _VARIANT,
'__module__' : 'com.daml.ledger.api.v1.value_pb2'
# @@protoc_insertion_point(class_scope:com.daml.ledger.api.v1.Variant)
})
_sym_db.RegisterMessage(Variant)
Enum = _reflection.GeneratedProtocolMessageType('Enum', (_message.Message,), {
'DESCRIPTOR' : _ENUM,
'__module__' : 'com.daml.ledger.api.v1.value_pb2'
# @@protoc_insertion_point(class_scope:com.daml.ledger.api.v1.Enum)
})
_sym_db.RegisterMessage(Enum)
List = _reflection.GeneratedProtocolMessageType('List', (_message.Message,), {
'DESCRIPTOR' : _LIST,
'__module__' : 'com.daml.ledger.api.v1.value_pb2'
# @@protoc_insertion_point(class_scope:com.daml.ledger.api.v1.List)
})
_sym_db.RegisterMessage(List)
Optional = _reflection.GeneratedProtocolMessageType('Optional', (_message.Message,), {
'DESCRIPTOR' : _OPTIONAL,
'__module__' : 'com.daml.ledger.api.v1.value_pb2'
# @@protoc_insertion_point(class_scope:com.daml.ledger.api.v1.Optional)
})
_sym_db.RegisterMessage(Optional)
Map = _reflection.GeneratedProtocolMessageType('Map', (_message.Message,), {
'Entry' : _reflection.GeneratedProtocolMessageType('Entry', (_message.Message,), {
'DESCRIPTOR' : _MAP_ENTRY,
'__module__' : 'com.daml.ledger.api.v1.value_pb2'
# @@protoc_insertion_point(class_scope:com.daml.ledger.api.v1.Map.Entry)
})
,
'DESCRIPTOR' : _MAP,
'__module__' : 'com.daml.ledger.api.v1.value_pb2'
# @@protoc_insertion_point(class_scope:com.daml.ledger.api.v1.Map)
})
_sym_db.RegisterMessage(Map)
_sym_db.RegisterMessage(Map.Entry)
GenMap = _reflection.GeneratedProtocolMessageType('GenMap', (_message.Message,), {
'Entry' : _reflection.GeneratedProtocolMessageType('Entry', (_message.Message,), {
'DESCRIPTOR' : _GENMAP_ENTRY,
'__module__' : 'com.daml.ledger.api.v1.value_pb2'
# @@protoc_insertion_point(class_scope:com.daml.ledger.api.v1.GenMap.Entry)
})
,
'DESCRIPTOR' : _GENMAP,
'__module__' : 'com.daml.ledger.api.v1.value_pb2'
# @@protoc_insertion_point(class_scope:com.daml.ledger.api.v1.GenMap)
})
_sym_db.RegisterMessage(GenMap)
_sym_db.RegisterMessage(GenMap.Entry)
DESCRIPTOR._options = None
_VALUE.fields_by_name['int64']._options = None
_VALUE.fields_by_name['timestamp']._options = None
# @@protoc_insertion_point(module_scope)
| 44.338583 | 3,257 | 0.749512 | 4,688 | 33,786 | 5.089377 | 0.065913 | 0.040572 | 0.056666 | 0.063498 | 0.793663 | 0.741146 | 0.727231 | 0.71692 | 0.677774 | 0.636196 | 0 | 0.040903 | 0.109957 | 33,786 | 761 | 3,258 | 44.396846 | 0.752519 | 0.03608 | 0 | 0.614388 | 0 | 0.002878 | 0.216988 | 0.169571 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.007194 | 0 | 0.007194 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 |
62cde80cbdd2aaec5f2b43c8bbadd47245e1ca29 | 2,053 | py | Python | src/backend/common/queries/tests/team_year_media_query_test.py | bovlb/the-blue-alliance | 29389649d96fe060688f218d463e642dcebfd6cc | [
"MIT"
] | 266 | 2015-01-04T00:10:48.000Z | 2022-03-28T18:42:05.000Z | src/backend/common/queries/tests/team_year_media_query_test.py | bovlb/the-blue-alliance | 29389649d96fe060688f218d463e642dcebfd6cc | [
"MIT"
] | 2,673 | 2015-01-01T20:14:33.000Z | 2022-03-31T18:17:16.000Z | src/backend/common/queries/tests/team_year_media_query_test.py | ZachOrr/the-blue-alliance | b9a2e6e07374fb12c70f8fae1948bfe90e34adfe | [
"MIT"
] | 230 | 2015-01-04T00:10:48.000Z | 2022-03-26T18:12:04.000Z | from google.appengine.ext import ndb
from backend.common.consts.media_type import MediaType
from backend.common.models.media import Media
from backend.common.models.team import Team
from backend.common.queries.media_query import TeamYearMediaQuery
def test_no_data() -> None:
medias = TeamYearMediaQuery(team_key="frc254", year=2019).fetch()
assert medias == []
def test_excludes_media_with_no_year() -> None:
m = Media(
id="youtube_abc",
media_type_enum=MediaType.YOUTUBE_VIDEO,
foreign_key="abc",
references=[ndb.Key(Team, "frc254")],
year=None,
)
m.put()
medias = TeamYearMediaQuery(team_key="frc254", year=2019).fetch()
assert medias == []
def test_excludes_media_with_wrong_year() -> None:
m = Media(
id="youtube_abc",
media_type_enum=MediaType.YOUTUBE_VIDEO,
foreign_key="abc",
references=[ndb.Key(Team, "frc254")],
year=2018,
)
m.put()
medias = TeamYearMediaQuery(team_key="frc254", year=2019).fetch()
assert medias == []
def test_excludes_media_with_no_team() -> None:
m = Media(
id="youtube_abc",
media_type_enum=MediaType.YOUTUBE_VIDEO,
foreign_key="abc",
year=2019,
)
m.put()
medias = TeamYearMediaQuery(team_key="frc254", year=2019).fetch()
assert medias == []
def test_excludes_media_with_wrong_team() -> None:
m = Media(
id="youtube_abc",
media_type_enum=MediaType.YOUTUBE_VIDEO,
foreign_key="abc",
references=[ndb.Key(Team, "frc177")],
year=2019,
)
m.put()
medias = TeamYearMediaQuery(team_key="frc254", year=2019).fetch()
assert medias == []
def test_fetch_media_with_year() -> None:
m = Media(
id="youtube_abc",
media_type_enum=MediaType.YOUTUBE_VIDEO,
foreign_key="abc",
references=[ndb.Key(Team, "frc254")],
year=2019,
)
m.put()
medias = TeamYearMediaQuery(team_key="frc254", year=2019).fetch()
assert medias == [m]
| 25.345679 | 69 | 0.643449 | 251 | 2,053 | 5.027888 | 0.171315 | 0.071315 | 0.077655 | 0.147385 | 0.795563 | 0.795563 | 0.795563 | 0.795563 | 0.795563 | 0.795563 | 0 | 0.044025 | 0.225524 | 2,053 | 80 | 70 | 25.6625 | 0.749686 | 0 | 0 | 0.677419 | 0 | 0 | 0.063322 | 0 | 0 | 0 | 0 | 0 | 0.096774 | 1 | 0.096774 | false | 0 | 0.080645 | 0 | 0.177419 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 |
62e34dd066867ee21583cbc2d5eacdccd79d0484 | 169 | py | Python | shtick/shtick_app/views.py | quanticle/shtick | d3a56ded546739695ce0a25c41cf49871d977ab8 | [
"MIT"
] | null | null | null | shtick/shtick_app/views.py | quanticle/shtick | d3a56ded546739695ce0a25c41cf49871d977ab8 | [
"MIT"
] | 4 | 2021-03-19T01:50:51.000Z | 2022-02-10T08:18:48.000Z | shtick/shtick_app/views.py | quanticle/shtick | d3a56ded546739695ce0a25c41cf49871d977ab8 | [
"MIT"
] | null | null | null | from django.http import HttpResponse
# Create your views here.
def index(request):
return HttpResponse("Hello world, you've reached the index of the shtick app.")
| 24.142857 | 83 | 0.757396 | 25 | 169 | 5.12 | 0.88 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.16568 | 169 | 6 | 84 | 28.166667 | 0.907801 | 0.136095 | 0 | 0 | 0 | 0 | 0.388889 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.333333 | false | 0 | 0.333333 | 0.333333 | 1 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 5 |
1a0569c9b04a57003fa3a304813d8d9c5e1f221b | 159,535 | py | Python | fn_cb_protection/fn_cb_protection/util/customize.py | nickpartner-goahead/resilient-community-apps | 097c0dbefddbd221b31149d82af9809420498134 | [
"MIT"
] | 65 | 2017-12-04T13:58:32.000Z | 2022-03-24T18:33:17.000Z | fn_cb_protection/fn_cb_protection/util/customize.py | nickpartner-goahead/resilient-community-apps | 097c0dbefddbd221b31149d82af9809420498134 | [
"MIT"
] | 48 | 2018-03-02T19:17:14.000Z | 2022-03-09T22:00:38.000Z | fn_cb_protection/fn_cb_protection/util/customize.py | nickpartner-goahead/resilient-community-apps | 097c0dbefddbd221b31149d82af9809420498134 | [
"MIT"
] | 95 | 2018-01-11T16:23:39.000Z | 2022-03-21T11:34:29.000Z | # -*- coding: utf-8 -*-
"""Generate the Resilient customizations required for fn_cb_protection"""
from __future__ import print_function
from resilient_circuits.util import *
def codegen_reload_data():
"""Parameters to codegen used to generate the fn_cb_protection package"""
reload_params = {"package": u"fn_cb_protection",
"incident_fields": [u"cb_protect_computer", u"cb_protect_computer_id", u"cb_protect_details", u"cb_protect_enforcement_level", u"cb_protect_file_catalog_id", u"cb_protect_file_path", u"cb_protect_filename", u"cb_protect_request_id", u"cb_protect_request_priority", u"cb_protect_request_status", u"cb_protect_triggered_on", u"cb_protect_user"],
"action_fields": [u"cb_approval_request_query_condition", u"cb_file_catalog_query_condition"],
"function_params": [u"bit9_approval_request_id", u"bit9_approval_request_resolution", u"bit9_approval_request_resolution_comments", u"bit9_approval_request_status", u"bit9_computer_id", u"bit9_file_action", u"bit9_file_catalog_id", u"bit9_file_hash", u"bit9_file_instance_id", u"bit9_file_instance_localstate", u"bit9_file_name", u"bit9_file_path", u"bit9_file_rule_description", u"bit9_file_rule_filestate", u"bit9_file_rule_hash", u"bit9_file_rule_id", u"bit9_file_rule_name", u"bit9_file_rule_policyids", u"bit9_file_rule_sourcetype", u"bit9_query"],
"datatables": [],
"message_destinations": [u"bit9"],
"functions": [u"bit9_approval_request_get", u"bit9_approval_request_query", u"bit9_approval_request_update", u"bit9_file_catalog_get", u"bit9_file_catalog_query", u"bit9_file_delete", u"bit9_file_instance_query", u"bit9_file_instance_update", u"bit9_file_rule_delete", u"bit9_file_rule_get", u"bit9_file_rule_query", u"bit9_file_rule_update"],
"phases": [],
"automatic_tasks": [],
"scripts": [],
"workflows": [u"cb_protect_approve_file_globally_and_close_request", u"cb_protect_approve_file_locally_and_close_request", u"cb_protect_ban_file_globally_and_close_request", u"cbprotect_get_approval_request", u"example_cbprotection_query_approval_request", u"example_cbprotection_query_file_catalog"],
"actions": [u"(Example) CbProtect Approve File Globally and Close Request", u"(Example) CbProtect Approve File Locally and Close Request", u"(Example) CbProtect Ban File Globally and Close Request", u"(Example) CbProtect Get Approval Request", u"(Example) CbProtect Get Approval Request for Query Condition", u"(Example) CbProtect Get File Catalog for Query Condition"],
"incident_artifact_types": []
}
return reload_params
def customization_data(client=None):
"""Produce any customization definitions (types, fields, message destinations, etc)
that should be installed by `resilient-circuits customize`
"""
# This import data contains:
# Incident fields:
# cb_protect_computer
# cb_protect_computer_id
# cb_protect_details
# cb_protect_enforcement_level
# cb_protect_file_catalog_id
# cb_protect_file_path
# cb_protect_filename
# cb_protect_request_id
# cb_protect_request_priority
# cb_protect_request_status
# cb_protect_triggered_on
# cb_protect_user
# Action fields:
# cb_approval_request_query_condition
# cb_file_catalog_query_condition
# Function inputs:
# bit9_approval_request_id
# bit9_approval_request_resolution
# bit9_approval_request_resolution_comments
# bit9_approval_request_status
# bit9_computer_id
# bit9_file_action
# bit9_file_catalog_id
# bit9_file_hash
# bit9_file_instance_id
# bit9_file_instance_localstate
# bit9_file_name
# bit9_file_path
# bit9_file_rule_description
# bit9_file_rule_filestate
# bit9_file_rule_hash
# bit9_file_rule_id
# bit9_file_rule_name
# bit9_file_rule_policyids
# bit9_file_rule_sourcetype
# bit9_query
# Message Destinations:
# bit9
# Functions:
# bit9_approval_request_get
# bit9_approval_request_query
# bit9_approval_request_update
# bit9_file_catalog_get
# bit9_file_catalog_query
# bit9_file_delete
# bit9_file_instance_query
# bit9_file_instance_update
# bit9_file_rule_delete
# bit9_file_rule_get
# bit9_file_rule_query
# bit9_file_rule_update
# Workflows:
# cb_protect_approve_file_globally_and_close_request
# cb_protect_approve_file_locally_and_close_request
# cb_protect_ban_file_globally_and_close_request
# cbprotect_get_approval_request
# example_cbprotection_query_approval_request
# example_cbprotection_query_file_catalog
# Rules:
# (Example) CbProtect Approve File Globally and Close Request
# (Example) CbProtect Approve File Locally and Close Request
# (Example) CbProtect Ban File Globally and Close Request
# (Example) CbProtect Get Approval Request
# (Example) CbProtect Get Approval Request for Query Condition
# (Example) CbProtect Get File Catalog for Query Condition
yield ImportDefinition(u"""
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"""
) | 75.82462 | 574 | 0.975566 | 2,979 | 159,535 | 52.127895 | 0.755623 | 0.00237 | 0.001333 | 0.000921 | 0.011759 | 0.009344 | 0.008185 | 0.004843 | 0 | 0 | 0 | 0.12267 | 0.019989 | 159,535 | 2,104 | 575 | 75.82462 | 0.870569 | 0.014755 | 0 | 0.036579 | 1 | 0 | 0.9921 | 0.974358 | 0 | 1 | 0 | 0 | 0 | 1 | 0.000989 | false | 0 | 0.001483 | 0 | 0.002966 | 0.000494 | 0 | 0 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 |
a7fa74345f5f5ee90d911b13a802d3425fcbcb80 | 163 | py | Python | HelloWorld_python/http_spider/spider.py | wang153723482/HelloWorld_my | b8642ad9742f95cfebafc61f25b00e917485e50c | [
"Apache-2.0"
] | null | null | null | HelloWorld_python/http_spider/spider.py | wang153723482/HelloWorld_my | b8642ad9742f95cfebafc61f25b00e917485e50c | [
"Apache-2.0"
] | null | null | null | HelloWorld_python/http_spider/spider.py | wang153723482/HelloWorld_my | b8642ad9742f95cfebafc61f25b00e917485e50c | [
"Apache-2.0"
] | null | null | null | import urllib2
url = 'http://item.jd.hk/1952014601.html'
url_item = urllib2.urlopen(url,'utf-8')
html_source = url_item.read()
print html_source
url_item.close() | 20.375 | 41 | 0.754601 | 27 | 163 | 4.37037 | 0.592593 | 0.177966 | 0.220339 | 0.288136 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.087838 | 0.092025 | 163 | 8 | 42 | 20.375 | 0.709459 | 0 | 0 | 0 | 0 | 0 | 0.231707 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.166667 | null | null | 0.166667 | 1 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 |
c51b54dfb70c396f7961594bc9affa2adc95b0bb | 49 | py | Python | tests/__init__.py | aeturrell/specification_curve | ffbc1cec4368a8fa7de0fe9c567e6e8cc5108926 | [
"MIT"
] | 9 | 2020-09-01T15:05:59.000Z | 2022-03-04T18:31:08.000Z | tests/__init__.py | aeturrell/specification_curve | ffbc1cec4368a8fa7de0fe9c567e6e8cc5108926 | [
"MIT"
] | 16 | 2020-09-14T14:19:43.000Z | 2022-03-31T14:58:02.000Z | tests/__init__.py | aeturrell/specification_curve | ffbc1cec4368a8fa7de0fe9c567e6e8cc5108926 | [
"MIT"
] | 2 | 2020-09-03T00:09:44.000Z | 2021-11-05T14:24:47.000Z | """Unit test package for specification_curve."""
| 24.5 | 48 | 0.755102 | 6 | 49 | 6 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.102041 | 49 | 1 | 49 | 49 | 0.818182 | 0.857143 | 0 | null | 0 | null | 0 | 0 | null | 0 | 0 | 0 | null | 1 | null | true | 0 | 0 | null | null | null | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 |
c547bdae831ed2e0ce85963a2ef91ab6924a81ee | 139 | py | Python | resttorrent/exceptions.py | shlee322/resttorrent | 781c1c1810140c27c4e29c7a0b421e86e2ed8d1d | [
"MIT"
] | null | null | null | resttorrent/exceptions.py | shlee322/resttorrent | 781c1c1810140c27c4e29c7a0b421e86e2ed8d1d | [
"MIT"
] | null | null | null | resttorrent/exceptions.py | shlee322/resttorrent | 781c1c1810140c27c4e29c7a0b421e86e2ed8d1d | [
"MIT"
] | null | null | null |
class APIException(Exception):
def __init__(self, error_code):
Exception.__init__(self)
self.error_code = error_code
| 19.857143 | 36 | 0.690647 | 16 | 139 | 5.3125 | 0.5 | 0.317647 | 0.305882 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.223022 | 139 | 6 | 37 | 23.166667 | 0.787037 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.25 | false | 0 | 0 | 0 | 0.5 | 0 | 1 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 |
3d9663fdcf9526bcd96d729d2097f0a7d974856a | 73 | py | Python | alpha/NN/__init__.py | DanielBerns/keras-effective-adventure | d9bc8c08f769f0c07379d2a3756d040ca14239f2 | [
"MIT"
] | null | null | null | alpha/NN/__init__.py | DanielBerns/keras-effective-adventure | d9bc8c08f769f0c07379d2a3756d040ca14239f2 | [
"MIT"
] | null | null | null | alpha/NN/__init__.py | DanielBerns/keras-effective-adventure | d9bc8c08f769f0c07379d2a3756d040ca14239f2 | [
"MIT"
] | null | null | null | # import the necessary packages
from .NeuralNetwork import NeuralNetwork
| 24.333333 | 40 | 0.849315 | 8 | 73 | 7.75 | 0.75 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.123288 | 73 | 2 | 41 | 36.5 | 0.96875 | 0.39726 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 5 |
3da9444c7331b50382e38545d99588a4ef25042c | 151 | py | Python | main/settings/__init__.py | ruslankrivoshein/django-rest-framework-project-skeleton-example | 477fbd2bfce0c30c1b8b0fd725f99bcdde5cbb8c | [
"MIT"
] | null | null | null | main/settings/__init__.py | ruslankrivoshein/django-rest-framework-project-skeleton-example | 477fbd2bfce0c30c1b8b0fd725f99bcdde5cbb8c | [
"MIT"
] | 8 | 2021-03-18T23:06:15.000Z | 2021-11-10T11:50:08.000Z | main/settings/__init__.py | ruslankrivoshein/django-rest-framework-project-skeleton-example | 477fbd2bfce0c30c1b8b0fd725f99bcdde5cbb8c | [
"MIT"
] | null | null | null | from .db import DATABASES
from .django import *
from .rest import REST_FRAMEWORK
try:
from .settings_local import *
except ImportError:
pass
| 15.1 | 33 | 0.748344 | 20 | 151 | 5.55 | 0.65 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.198676 | 151 | 9 | 34 | 16.777778 | 0.917355 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0.142857 | 0.714286 | 0 | 0.714286 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 5 |
3daea223002ab74825a041b8987c7106677de985 | 37 | py | Python | custom_components/microsoft_vision/__init__.py | RABCbot/Home-Assistant-MicrosoftVision | 1440c8f15c6c89f004bcfbfb7a2a7572e65959a5 | [
"MIT"
] | null | null | null | custom_components/microsoft_vision/__init__.py | RABCbot/Home-Assistant-MicrosoftVision | 1440c8f15c6c89f004bcfbfb7a2a7572e65959a5 | [
"MIT"
] | null | null | null | custom_components/microsoft_vision/__init__.py | RABCbot/Home-Assistant-MicrosoftVision | 1440c8f15c6c89f004bcfbfb7a2a7572e65959a5 | [
"MIT"
] | null | null | null | """The microsoft_vision component.""" | 37 | 37 | 0.756757 | 4 | 37 | 6.75 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.054054 | 37 | 1 | 37 | 37 | 0.771429 | 0.837838 | 0 | null | 0 | null | 0 | 0 | null | 0 | 0 | 0 | null | 1 | null | true | 0 | 0 | null | null | null | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 |
3db019745c32ef0d4927839caa6d77b9dbfbf2b1 | 140 | py | Python | application/downloader.py | ahmetb/permalinker | 119fe44e7270c4299d514d12a4c435694145d48d | [
"Apache-2.0"
] | 1 | 2018-01-28T09:30:32.000Z | 2018-01-28T09:30:32.000Z | application/downloader.py | ahmetb/permalinker | 119fe44e7270c4299d514d12a4c435694145d48d | [
"Apache-2.0"
] | null | null | null | application/downloader.py | ahmetb/permalinker | 119fe44e7270c4299d514d12a4c435694145d48d | [
"Apache-2.0"
] | null | null | null | # coding=utf-8
import requests
def download(url):
resp = requests.get(url) # TODO add retries
return resp.content, resp.headers
| 15.555556 | 48 | 0.7 | 20 | 140 | 4.9 | 0.8 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.008929 | 0.2 | 140 | 8 | 49 | 17.5 | 0.866071 | 0.207143 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.125 | 0 | 1 | 0.25 | false | 0 | 0.25 | 0 | 0.75 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 5 |
3dd5fc3998b33acc0287477749384cfbdb858fde | 32 | py | Python | timsay/textcolors/__init__.py | tanyaschlusser/timsay | 868e379f7acb932a61a8a26cf0ce4791eb3ef22d | [
"MIT"
] | 1 | 2017-11-17T15:34:27.000Z | 2017-11-17T15:34:27.000Z | timsay/textcolors/__init__.py | tanyaschlusser/timsay | 868e379f7acb932a61a8a26cf0ce4791eb3ef22d | [
"MIT"
] | null | null | null | timsay/textcolors/__init__.py | tanyaschlusser/timsay | 868e379f7acb932a61a8a26cf0ce4791eb3ef22d | [
"MIT"
] | null | null | null | from .colors import bright, dim
| 16 | 31 | 0.78125 | 5 | 32 | 5 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.15625 | 32 | 1 | 32 | 32 | 0.925926 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 5 |
3de78a30b9098f48e8b1434423f29ea86e1454ce | 27 | py | Python | Resblock/__init__.py | JamesPerlman/Dain-App | f589abdca8309cfdb6dd106da7c7c4613d152c72 | [
"MIT"
] | 7,517 | 2019-03-25T01:04:47.000Z | 2022-03-31T06:40:51.000Z | Resblock/__init__.py | JamesPerlman/Dain-App | f589abdca8309cfdb6dd106da7c7c4613d152c72 | [
"MIT"
] | 138 | 2019-04-04T07:06:32.000Z | 2022-03-31T18:32:07.000Z | Resblock/__init__.py | JamesPerlman/Dain-App | f589abdca8309cfdb6dd106da7c7c4613d152c72 | [
"MIT"
] | 848 | 2019-03-25T01:05:05.000Z | 2022-03-31T10:01:48.000Z | from .BasicBlock import * | 27 | 27 | 0.740741 | 3 | 27 | 6.666667 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.185185 | 27 | 1 | 27 | 27 | 0.909091 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 5 |
9aa0a15e34a28e2b8dc17f0cf08b8043d3f22e13 | 53 | py | Python | pyretina/optimize/optimizer.py | yandexdataschool/pyretina | 300d3cd460ded071d75d3729e9b5dc1489d86d73 | [
"Apache-2.0"
] | 2 | 2016-05-28T15:59:47.000Z | 2018-07-30T21:05:18.000Z | pyretina/optimize/optimizer.py | yandexdataschool/pyretina | 300d3cd460ded071d75d3729e9b5dc1489d86d73 | [
"Apache-2.0"
] | null | null | null | pyretina/optimize/optimizer.py | yandexdataschool/pyretina | 300d3cd460ded071d75d3729e9b5dc1489d86d73 | [
"Apache-2.0"
] | null | null | null | class Optimizer(object):
def maxima(self):
pass | 17.666667 | 24 | 0.698113 | 7 | 53 | 5.285714 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.188679 | 53 | 3 | 25 | 17.666667 | 0.860465 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.333333 | false | 0.333333 | 0 | 0 | 0.666667 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 5 |
9adb84d948c10ff8b99f6ef43443f387c88abae9 | 57 | py | Python | src/execution/exception.py | AmeyKamat/MEERA | 30635b68995a9ce17024a76eb1b23cc1c300404f | [
"MIT"
] | 20 | 2019-01-30T17:03:50.000Z | 2021-07-06T06:09:29.000Z | src/execution/exception.py | arpit006/MEERA | 30635b68995a9ce17024a76eb1b23cc1c300404f | [
"MIT"
] | 22 | 2019-03-13T04:52:07.000Z | 2020-07-17T07:25:44.000Z | src/execution/exception.py | arpit006/MEERA | 30635b68995a9ce17024a76eb1b23cc1c300404f | [
"MIT"
] | 1 | 2020-07-18T18:52:39.000Z | 2020-07-18T18:52:39.000Z | class SelfLocationNotFoundException(Exception):
pass
| 19 | 47 | 0.824561 | 4 | 57 | 11.75 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.122807 | 57 | 2 | 48 | 28.5 | 0.94 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0.5 | 0 | 0 | 0.5 | 0 | 1 | 0 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 |
b16a9093231fe2ec007abfe0487ecac24a67b254 | 60 | py | Python | src/vulnpy/falcon/__init__.py | davidaustinarcher/vulnpy | 692703dae701197fd42ae7fc5a9d52f05a501550 | [
"MIT"
] | 7 | 2021-03-23T17:40:45.000Z | 2022-03-14T16:07:27.000Z | src/vulnpy/falcon/__init__.py | davidaustinarcher/vulnpy | 692703dae701197fd42ae7fc5a9d52f05a501550 | [
"MIT"
] | 27 | 2020-06-29T13:35:45.000Z | 2022-01-21T07:10:55.000Z | src/vulnpy/falcon/__init__.py | davidaustinarcher/vulnpy | 692703dae701197fd42ae7fc5a9d52f05a501550 | [
"MIT"
] | 14 | 2020-07-26T18:23:16.000Z | 2022-03-09T13:44:53.000Z | from .vulnerable import add_vulnerable_routes # noqa: F401
| 30 | 59 | 0.816667 | 8 | 60 | 5.875 | 0.875 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.057692 | 0.133333 | 60 | 1 | 60 | 60 | 0.846154 | 0.166667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 5 |
b183dc5dfdf6733eb61c8bd8e3087b325f7ce10e | 25 | py | Python | hello_world.py | Venkatapotanna/profiles-rest-api | a878d76c484f7401a8d32b4e9e4bf8334c9e05e5 | [
"MIT"
] | null | null | null | hello_world.py | Venkatapotanna/profiles-rest-api | a878d76c484f7401a8d32b4e9e4bf8334c9e05e5 | [
"MIT"
] | null | null | null | hello_world.py | Venkatapotanna/profiles-rest-api | a878d76c484f7401a8d32b4e9e4bf8334c9e05e5 | [
"MIT"
] | null | null | null | print('Om Namah Sivaya')
| 12.5 | 24 | 0.72 | 4 | 25 | 4.5 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.12 | 25 | 1 | 25 | 25 | 0.818182 | 0 | 0 | 0 | 0 | 0 | 0.6 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 5 |
b18d7751311d7d551f2a559b6e0157d20547bfd4 | 33 | py | Python | glue/dialogs/data_wizard/qt/__init__.py | ejeschke/glue | 21689e3474aeaeb70e258d76c60755596856976c | [
"BSD-3-Clause"
] | 3 | 2015-09-10T22:23:55.000Z | 2019-04-04T18:47:33.000Z | glue/dialogs/data_wizard/qt/__init__.py | ejeschke/glue | 21689e3474aeaeb70e258d76c60755596856976c | [
"BSD-3-Clause"
] | null | null | null | glue/dialogs/data_wizard/qt/__init__.py | ejeschke/glue | 21689e3474aeaeb70e258d76c60755596856976c | [
"BSD-3-Clause"
] | null | null | null | from .data_wizard_dialog import * | 33 | 33 | 0.848485 | 5 | 33 | 5.2 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.090909 | 33 | 1 | 33 | 33 | 0.866667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 5 |
490f2ed0a214e79c38cf4dca86dc04a1dd462330 | 12,316 | py | Python | shenanigan/models/stackgan/stage2/trainer.py | deepmagd/shenaniGAN | 02f83aec1291c2a2a8821b3a0c162264075157bb | [
"MIT"
] | 1 | 2019-12-13T22:32:50.000Z | 2019-12-13T22:32:50.000Z | shenanigan/models/stackgan/stage2/trainer.py | deepmagd/shenaniGAN | 02f83aec1291c2a2a8821b3a0c162264075157bb | [
"MIT"
] | 40 | 2020-05-05T08:16:31.000Z | 2022-03-12T00:19:16.000Z | shenanigan/models/stackgan/stage2/trainer.py | deepmagd/TexrayGAN | 02f83aec1291c2a2a8821b3a0c162264075157bb | [
"MIT"
] | null | null | null | import numpy as np
import tensorflow as tf
from tqdm import trange
from shenanigan.trainers import Trainer
from shenanigan.utils.data_helpers import tensors_from_sample
class Stage2Trainer(Trainer):
""" Trainer which feeds in text as input to the GAN to generate images """
def __init__(
self,
model: tf.keras.Model,
batch_size: int,
save_location: str,
save_every: int,
save_best_after: int,
callbacks=None,
use_pretrained: bool = False,
show_progress_bar: bool = True,
**kwargs
):
""" Initialise a model trainer for iamge data.
Arguments:
model: models.ConditionalGAN
The model to train
batch_size: int
The number of samples per mini-batch
save_location: str
The directory in which to save all
results from training the model.
"""
super().__init__(
model,
batch_size,
save_location,
save_every,
save_best_after,
callbacks,
use_pretrained,
show_progress_bar,
)
self.num_samples = kwargs.get("num_samples")
self.noise_size = kwargs.get("noise_size")
self.augment = kwargs.get("augment")
self.stage_1_generator = kwargs.get("stage_1_generator")
def train_epoch(self, train_loader: object, epoch_num: int):
""" Training operations for a single epoch """
acc_generator_loss = 0
acc_discriminator_loss = 0
acc_kl_loss = 0
acc_disc_real_loss = 0
acc_disc_wrong_loss = 0
acc_disc_fake_loss = 0
text_embedding_size = train_loader.dataset_object.text_embedding_dim
kwargs = dict(
desc="Epoch {}".format(epoch_num),
leave=False,
disable=not self.show_progress_bar,
)
with trange(len(train_loader), **kwargs) as t:
for batch_idx, sample in enumerate(train_loader.parsed_subset):
batch_size = len(sample["text"].numpy())
image_large, wrong_image_large, text_tensor = tensors_from_sample(
sample,
batch_size,
text_embedding_size,
self.num_samples,
self.augment,
img_size="large",
)
with tf.GradientTape() as generator_tape, tf.GradientTape() as discriminator_tape:
# Forward pass the stage 1 generator to obtain small fake images
noise_z = tf.random.normal((batch_size, self.noise_size))
fake_images_small, _, _ = self.stage_1_generator(
[text_tensor, noise_z], training=False
)
fake_images_large = self.model.generator(
[fake_images_small, text_tensor], training=True
)
assert (
fake_images_large.shape == image_large.shape
), "Real ({}) and fakes ({}) images must have the same dimensions".format(
image_large.shape, fake_images_large.shape
)
real_predictions = self.model.discriminator(
[image_large, text_tensor], training=True
)
wrong_predictions = self.model.discriminator(
[wrong_image_large, text_tensor], training=True
)
fake_predictions = self.model.discriminator(
[fake_images_large, text_tensor], training=True
)
assert (
real_predictions.shape
== wrong_predictions.shape
== fake_predictions.shape
), "Real ({}), wrong ({}) and fake ({}) image predictions must have the same dimensions".format(
real_predictions.shape,
wrong_predictions.shape,
fake_predictions.shape,
)
generator_loss = self.model.generator.loss(
tf.ones_like(fake_predictions), fake_predictions
)
kl_loss = sum(self.model.generator.losses)
generator_loss += kl_loss
disc_real_loss = self.model.discriminator.loss(
tf.fill(real_predictions.shape, 0.9), real_predictions
)
disc_wrong_loss = self.model.discriminator.loss(
tf.zeros_like(wrong_predictions), wrong_predictions
)
disc_fake_loss = self.model.discriminator.loss(
tf.zeros_like(fake_predictions), fake_predictions
)
discriminator_loss = (
disc_real_loss + 0.5 * disc_wrong_loss + 0.5 * disc_fake_loss
)
# Update gradients
generator_gradients = generator_tape.gradient(
generator_loss, self.model.generator.trainable_variables
)
discriminator_gradients = discriminator_tape.gradient(
discriminator_loss, self.model.discriminator.trainable_variables
)
self.model.generator.optimizer.apply_gradients(
zip(generator_gradients, self.model.generator.trainable_variables)
)
self.model.discriminator.optimizer.apply_gradients(
zip(
discriminator_gradients,
self.model.discriminator.trainable_variables,
)
)
# Update tqdm
t.set_postfix(
kl_loss=float(kl_loss),
generator_loss=float(generator_loss),
discriminator_loss=float(discriminator_loss),
disc_real_loss=float(disc_real_loss),
disc_wrong_loss=float(disc_wrong_loss),
disc_fake_loss=float(disc_fake_loss),
)
t.update()
# Accumulate losses over all samples
acc_generator_loss += generator_loss
acc_discriminator_loss += discriminator_loss
acc_kl_loss += kl_loss
acc_disc_real_loss += disc_real_loss
acc_disc_wrong_loss += disc_wrong_loss
acc_disc_fake_loss += disc_fake_loss
# if batch_idx == 1:
# break
return {
"generator_loss": np.asscalar(acc_generator_loss.numpy()) / (batch_idx + 1),
"discriminator_loss": np.asscalar(acc_discriminator_loss.numpy())
/ (batch_idx + 1),
"kl_loss": np.asscalar(acc_kl_loss.numpy()) / (batch_idx + 1),
"discriminator_real_loss": np.asscalar(acc_disc_real_loss.numpy())
/ (batch_idx + 1),
"discriminator_wrong_loss": np.asscalar(acc_disc_wrong_loss.numpy())
/ (batch_idx + 1),
"discriminator_fake_loss": np.asscalar(acc_disc_fake_loss.numpy())
/ (batch_idx + 1),
}
def val_epoch(self, val_loader: object, epoch_num: int):
acc_generator_loss = 0
acc_discriminator_loss = 0
acc_kl_loss = 0
acc_disc_real_loss = 0
acc_disc_wrong_loss = 0
acc_disc_fake_loss = 0
text_embedding_size = val_loader.dataset_object.text_embedding_dim
kwargs = dict(
desc="Epoch {}".format(epoch_num),
leave=False,
disable=not self.show_progress_bar,
)
with trange(len(val_loader), **kwargs) as t:
for batch_idx, sample in enumerate(val_loader.parsed_subset):
batch_size = len(sample["text"].numpy())
image_large, wrong_image_large, text_tensor = tensors_from_sample(
sample,
batch_size,
text_embedding_size,
self.num_samples,
self.augment,
img_size="large",
)
# Generate fake small images
noise_z = tf.random.normal((batch_size, self.noise_size))
fake_images_small, _, _ = self.stage_1_generator(
[text_tensor, noise_z], training=False
)
fake_images = self.model.generator(
[fake_images_small, text_tensor], training=False
)
assert (
fake_images.shape == image_large.shape
), "Real ({}) and fakes ({}) images must have the same dimensions".format(
image_large.shape, fake_images.shape
)
real_predictions = self.model.discriminator(
[image_large, text_tensor], training=False
)
wrong_predictions = self.model.discriminator(
[wrong_image_large, text_tensor], training=False
)
fake_predictions = self.model.discriminator(
[fake_images, text_tensor], training=False
)
assert (
real_predictions.shape
== wrong_predictions.shape
== fake_predictions.shape
), "Real ({}), wrong ({}) and fake ({}) image predictions must have the same dimensions".format(
real_predictions.shape,
wrong_predictions.shape,
fake_predictions.shape,
)
generator_loss = self.model.generator.loss(
tf.ones_like(fake_predictions), fake_predictions
)
kl_loss = sum(self.model.generator.losses)
generator_loss += kl_loss
disc_real_loss = self.model.discriminator.loss(
tf.ones_like(real_predictions), real_predictions
)
disc_wrong_loss = self.model.discriminator.loss(
tf.zeros_like(wrong_predictions), wrong_predictions
)
disc_fake_loss = self.model.discriminator.loss(
tf.zeros_like(fake_predictions), fake_predictions
)
discriminator_loss = (
disc_real_loss + 0.5 * disc_wrong_loss + 0.5 * disc_fake_loss
)
# Update tqdm
t.set_postfix(
kl_loss=float(kl_loss),
generator_loss=float(generator_loss),
discriminator_loss=float(discriminator_loss),
disc_real_loss=float(disc_real_loss),
disc_wrong_loss=float(disc_wrong_loss),
disc_fake_loss=float(disc_fake_loss),
)
t.update()
# Accumulate losses over all samples
acc_generator_loss += generator_loss
acc_discriminator_loss += discriminator_loss
acc_kl_loss += kl_loss
acc_disc_real_loss += disc_real_loss
acc_disc_wrong_loss += disc_wrong_loss
acc_disc_fake_loss += disc_fake_loss
# if batch_idx == 1:
# break
return {
"generator_loss": np.asscalar(acc_generator_loss.numpy()) / (batch_idx + 1),
"discriminator_loss": np.asscalar(acc_discriminator_loss.numpy())
/ (batch_idx + 1),
"kl_loss": np.asscalar(acc_kl_loss.numpy()) / (batch_idx + 1),
"discriminator_real_loss": np.asscalar(acc_disc_real_loss.numpy())
/ (batch_idx + 1),
"discriminator_wrong_loss": np.asscalar(acc_disc_wrong_loss.numpy())
/ (batch_idx + 1),
"discriminator_fake_loss": np.asscalar(acc_disc_fake_loss.numpy())
/ (batch_idx + 1),
}
| 41.608108 | 116 | 0.532559 | 1,204 | 12,316 | 5.100498 | 0.130399 | 0.036639 | 0.031265 | 0.033219 | 0.780655 | 0.734734 | 0.731803 | 0.716496 | 0.716496 | 0.699886 | 0 | 0.005619 | 0.393066 | 12,316 | 295 | 117 | 41.749153 | 0.81592 | 0.050747 | 0 | 0.577869 | 0 | 0 | 0.050619 | 0.012114 | 0 | 0 | 0 | 0 | 0.016393 | 1 | 0.012295 | false | 0 | 0.020492 | 0 | 0.045082 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 |
49347aa8a7a7531ed2920c60847143dd7544b842 | 201 | py | Python | main/admin.py | Andrew95496/Elixir | 439e156ac1867285992e85cc67b7c3087afba1fd | [
"MIT"
] | 1 | 2022-01-24T15:53:56.000Z | 2022-01-24T15:53:56.000Z | main/admin.py | Andrew95496/Elixir | 439e156ac1867285992e85cc67b7c3087afba1fd | [
"MIT"
] | null | null | null | main/admin.py | Andrew95496/Elixir | 439e156ac1867285992e85cc67b7c3087afba1fd | [
"MIT"
] | null | null | null | from django.contrib import admin
from .models import VideoPost, Comment, UserData
# Register your models here.
admin.site.register(VideoPost)
admin.site.register(Comment)
admin.site.register(UserData) | 28.714286 | 48 | 0.820896 | 27 | 201 | 6.111111 | 0.481481 | 0.163636 | 0.309091 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.089552 | 201 | 7 | 49 | 28.714286 | 0.901639 | 0.129353 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.4 | 0 | 0.4 | 0 | 1 | 0 | 0 | null | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 5 |
4968d02f9048a1f429a9408338f4f8a5858c5a0b | 937 | py | Python | backend/treeckle/authentication/views.py | CAPTxTreeckle/Treeckle-3.0 | 0c8a1a1db5685a22968644deabdd79b525ff0140 | [
"MIT"
] | null | null | null | backend/treeckle/authentication/views.py | CAPTxTreeckle/Treeckle-3.0 | 0c8a1a1db5685a22968644deabdd79b525ff0140 | [
"MIT"
] | 1 | 2021-11-28T06:18:51.000Z | 2021-11-28T06:18:51.000Z | backend/treeckle/authentication/views.py | CAPTxTreeckle/Treeckle-3.0 | 0c8a1a1db5685a22968644deabdd79b525ff0140 | [
"MIT"
] | 1 | 2021-08-02T09:20:10.000Z | 2021-08-02T09:20:10.000Z | from rest_framework_simplejwt.views import TokenViewBase
from .serializers import (
OpenIdLoginSerializer,
GoogleLoginSerializer,
FacebookLoginSerializer,
PasswordLoginSerializer,
AccessTokenRefreshSerializer,
CheckAccountSerializer,
PasswordResetSerializer,
)
# Create your views here.
class GoogleLoginView(TokenViewBase):
serializer_class = GoogleLoginSerializer
class FacebookLoginView(TokenViewBase):
serializer_class = FacebookLoginSerializer
class OpenIdLoginView(TokenViewBase):
serializer_class = OpenIdLoginSerializer
class PasswordLoginView(TokenViewBase):
serializer_class = PasswordLoginSerializer
class AccessTokenRefreshView(TokenViewBase):
serializer_class = AccessTokenRefreshSerializer
class CheckAccountView(TokenViewBase):
serializer_class = CheckAccountSerializer
class PasswordResetView(TokenViewBase):
serializer_class = PasswordResetSerializer
| 24.025641 | 56 | 0.822839 | 63 | 937 | 12.095238 | 0.428571 | 0.211286 | 0.257218 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.133404 | 937 | 38 | 57 | 24.657895 | 0.938424 | 0.024546 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.25 | 0.083333 | 0 | 0.666667 | 0 | 0 | 0 | 1 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 5 |
497f002cf6b76c1ae6e36ae1615d2f6bc7ed92c7 | 176 | py | Python | test.py | nepia11/gpencil-scatter | f85a9de6337d998dd3de46eea355b3f4f32f97f2 | [
"MIT"
] | null | null | null | test.py | nepia11/gpencil-scatter | f85a9de6337d998dd3de46eea355b3f4f32f97f2 | [
"MIT"
] | 2 | 2021-06-19T14:02:01.000Z | 2021-06-19T14:02:10.000Z | test.py | nepia11/gpencil-scatter | f85a9de6337d998dd3de46eea355b3f4f32f97f2 | [
"MIT"
] | null | null | null | import bpy
module_name = "gpencil-scatter"
bpy.ops.script.reload()
bpy.ops.preferences.addon_disable(module=module_name)
bpy.ops.preferences.addon_enable(module=module_name)
| 22 | 53 | 0.823864 | 26 | 176 | 5.384615 | 0.5 | 0.214286 | 0.242857 | 0.314286 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.056818 | 176 | 7 | 54 | 25.142857 | 0.843373 | 0 | 0 | 0 | 0 | 0 | 0.085227 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.2 | 0 | 0.2 | 0 | 1 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 |
b8ee3c60d371c7289e015955a581ac4f994b2f28 | 2,190 | py | Python | test/deepen/activation_test.py | petejh/deepen | f56ba0c8b072bd5153dc0a32974d7098cd0a6ad5 | [
"MIT"
] | null | null | null | test/deepen/activation_test.py | petejh/deepen | f56ba0c8b072bd5153dc0a32974d7098cd0a6ad5 | [
"MIT"
] | null | null | null | test/deepen/activation_test.py | petejh/deepen | f56ba0c8b072bd5153dc0a32974d7098cd0a6ad5 | [
"MIT"
] | null | null | null | import unittest
import numpy as np
from deepen import activation
class DeepenActivationReluTest(unittest.TestCase):
def setUp(self):
self.Z = np.array([[1], [2], [3]])
self.reluZ = np.array([[1], [2], [3]])
def test_returns_the_transformed_input(self):
Z, _ = activation.relu(self.Z)
self.assertTrue(np.array_equal(Z, self.reluZ))
def test_cache_contains_the_input(self):
_, cache = activation.relu(self.Z)
self.assertTrue(np.array_equal(cache, self.Z))
class DeepenActivationReluBackwardTest(unittest.TestCase):
def setUp(self):
self.Z = np.array([[-0.8], [0], [0.9]])
self.dA = np.ones((3, 1))
self.dZ_expected = np.array([[0], [0], [1]])
def test_dZ_has_the_correct_shape(self):
dZ = activation.relu_backward(self.dA, self.Z)
self.assertTrue(dZ.shape == self.dZ_expected.shape)
def test_returns_the_gradient_of_the_input(self):
dZ = activation.relu_backward(self.dA, self.Z)
self.assertTrue(np.array_equal(dZ, self.dZ_expected))
class DeepenActivationSigmoidTest(unittest.TestCase):
def setUp(self):
self.Z = np.array([[1], [2], [3]])
self.sigmoidZ = np.array([[0.73105858], [0.88079708], [0.95257413]])
def test_returns_the_transformed_input(self):
Z, _ = activation.sigmoid(self.Z)
self.assertTrue(np.allclose(Z, self.sigmoidZ))
def test_cache_contains_the_input(self):
_, cache = activation.sigmoid(self.Z)
self.assertTrue(np.array_equal(cache, self.Z))
class DeepenActivationSigmoidBackwardTest(unittest.TestCase):
def setUp(self):
self.Z = np.array([[-0.8], [0], [0.9]])
self.dA = np.ones((3, 1))
self.dZ_expected = np.array([[0.2139097], [0.25], [0.20550031]])
def test_dZ_has_the_correct_shape(self):
dZ = activation.sigmoid_backward(self.dA, self.Z)
self.assertTrue(dZ.shape == self.dZ_expected.shape)
def test_returns_the_gradient_of_the_input(self):
dZ = activation.sigmoid_backward(self.dA, self.Z)
self.assertTrue(np.allclose(dZ, self.dZ_expected))
if __name__ == '__main__':
unittest.main()
| 30.84507 | 76 | 0.656621 | 301 | 2,190 | 4.564784 | 0.192691 | 0.058224 | 0.052402 | 0.110626 | 0.761281 | 0.754003 | 0.742358 | 0.709607 | 0.706696 | 0.540029 | 0 | 0.04143 | 0.195434 | 2,190 | 70 | 77 | 31.285714 | 0.738365 | 0 | 0 | 0.553191 | 0 | 0 | 0.003653 | 0 | 0 | 0 | 0 | 0 | 0.170213 | 1 | 0.255319 | false | 0 | 0.06383 | 0 | 0.404255 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 |
77249128a19d39640df119e85f84ef567abaf56e | 81 | py | Python | attacks/utils/__init__.py | danibachar/Kubernetes | 4ef4a98f102a9368a250fcbc33fd05107f4a92a7 | [
"MIT"
] | null | null | null | attacks/utils/__init__.py | danibachar/Kubernetes | 4ef4a98f102a9368a250fcbc33fd05107f4a92a7 | [
"MIT"
] | null | null | null | attacks/utils/__init__.py | danibachar/Kubernetes | 4ef4a98f102a9368a250fcbc33fd05107f4a92a7 | [
"MIT"
] | 1 | 2022-01-14T16:38:13.000Z | 2022-01-14T16:38:13.000Z | from .attacker import JMeterAttacker
from .kubernetes_stas import KubernetesUtils | 40.5 | 44 | 0.888889 | 9 | 81 | 7.888889 | 0.777778 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.08642 | 81 | 2 | 44 | 40.5 | 0.959459 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 5 |
91fe0c9e883e3ed5bc968dc954e5b5c452c8a57a | 53 | py | Python | nilearn/input_data/nifti_masker.py | ctw/nilearn | 932eee9c69cd8fbf40ee6af5cee77f8f93b25da3 | [
"BSD-2-Clause"
] | null | null | null | nilearn/input_data/nifti_masker.py | ctw/nilearn | 932eee9c69cd8fbf40ee6af5cee77f8f93b25da3 | [
"BSD-2-Clause"
] | null | null | null | nilearn/input_data/nifti_masker.py | ctw/nilearn | 932eee9c69cd8fbf40ee6af5cee77f8f93b25da3 | [
"BSD-2-Clause"
] | null | null | null |
from nilearn.maskers.nifti_masker import * # noqa
| 13.25 | 50 | 0.754717 | 7 | 53 | 5.571429 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.169811 | 53 | 3 | 51 | 17.666667 | 0.886364 | 0.075472 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 5 |
6209ccdab78a4eefd0a48034401433fd62fc9604 | 32 | py | Python | text/_elisp/window/bar/header.py | jedhsu/text | 8525b602d304ac571a629104c48703443244545c | [
"Apache-2.0"
] | null | null | null | text/_elisp/window/bar/header.py | jedhsu/text | 8525b602d304ac571a629104c48703443244545c | [
"Apache-2.0"
] | null | null | null | text/_elisp/window/bar/header.py | jedhsu/text | 8525b602d304ac571a629104c48703443244545c | [
"Apache-2.0"
] | null | null | null | class WindowHeaderBar:
pass
| 10.666667 | 22 | 0.75 | 3 | 32 | 8 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.21875 | 32 | 2 | 23 | 16 | 0.96 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0.5 | 0 | 0 | 0.5 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 |
623efd236e13a62e8efb4f91a27b547079d37b05 | 306 | py | Python | matrimony/matrimony/models.py | sourashtra/jadagaparivarthana | 133a20ce6ad7aeecb5c17e6219a516de3fbc37aa | [
"MIT"
] | null | null | null | matrimony/matrimony/models.py | sourashtra/jadagaparivarthana | 133a20ce6ad7aeecb5c17e6219a516de3fbc37aa | [
"MIT"
] | 8 | 2020-02-12T00:21:32.000Z | 2022-03-11T23:18:28.000Z | matrimony/matrimony/models.py | sourashtra/jadagaparivarthana | 133a20ce6ad7aeecb5c17e6219a516de3fbc37aa | [
"MIT"
] | null | null | null | from django.db import models
class MatrimonyApplication(models.Model):
name = models.CharField(max_length=120)
place = models.CharField(max_length=120)
origin = models.CharField(max_length=120)
gothram = models.CharField(max_length=120)
family_name = models.CharField(max_length=120)
| 30.6 | 50 | 0.761438 | 40 | 306 | 5.675 | 0.425 | 0.330396 | 0.396476 | 0.528634 | 0.629956 | 0.273128 | 0 | 0 | 0 | 0 | 0 | 0.057034 | 0.140523 | 306 | 9 | 51 | 34 | 0.806084 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.142857 | 0 | 1 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 5 |
628d2aa6723deccd5bee42169bc72bd9cc270e18 | 32 | py | Python | exercises/nth-prime/nth_prime.py | Grociu/fork-of-exercism-python | 8aed8612117d5f9fa9db56a2b4bdc6143f6e15fd | [
"MIT"
] | null | null | null | exercises/nth-prime/nth_prime.py | Grociu/fork-of-exercism-python | 8aed8612117d5f9fa9db56a2b4bdc6143f6e15fd | [
"MIT"
] | null | null | null | exercises/nth-prime/nth_prime.py | Grociu/fork-of-exercism-python | 8aed8612117d5f9fa9db56a2b4bdc6143f6e15fd | [
"MIT"
] | null | null | null | def nth_prime(number):
pass
| 10.666667 | 22 | 0.6875 | 5 | 32 | 4.2 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.21875 | 32 | 2 | 23 | 16 | 0.84 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.5 | false | 0.5 | 0 | 0 | 0.5 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 5 |
659a57f361765cbf3557d0fb37b4b41a55980c3e | 23 | py | Python | src/ctc/cli/__init__.py | fei-protocol/checkthechain | ec838f3d0d44af228f45394d9ba8d8eb7f677520 | [
"MIT"
] | 94 | 2022-02-15T19:34:49.000Z | 2022-03-26T19:26:22.000Z | src/ctc/cli/__init__.py | fei-protocol/checkthechain | ec838f3d0d44af228f45394d9ba8d8eb7f677520 | [
"MIT"
] | 7 | 2022-03-03T02:58:47.000Z | 2022-03-11T18:41:05.000Z | src/ctc/cli/__init__.py | fei-protocol/checkthechain | ec838f3d0d44af228f45394d9ba8d8eb7f677520 | [
"MIT"
] | 7 | 2022-02-15T17:53:07.000Z | 2022-03-17T19:14:17.000Z | from .cli_run import *
| 11.5 | 22 | 0.73913 | 4 | 23 | 4 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.173913 | 23 | 1 | 23 | 23 | 0.842105 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 5 |
65a2632be40fd623856c7509b0ab9fea81b4b615 | 145 | py | Python | api/serializers/__init__.py | josecriane/MES-srv | f0ec37e5aa9c9a1cb6d6860163c841b807ac6a28 | [
"Apache-2.0"
] | null | null | null | api/serializers/__init__.py | josecriane/MES-srv | f0ec37e5aa9c9a1cb6d6860163c841b807ac6a28 | [
"Apache-2.0"
] | null | null | null | api/serializers/__init__.py | josecriane/MES-srv | f0ec37e5aa9c9a1cb6d6860163c841b807ac6a28 | [
"Apache-2.0"
] | null | null | null | from device import DeviceSerializer, DeviceOrderSerializer
from order import OrderSerializer, OrderTypeSerializer
from user import UserSerializer | 48.333333 | 58 | 0.896552 | 14 | 145 | 9.285714 | 0.714286 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.089655 | 145 | 3 | 59 | 48.333333 | 0.984848 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 5 |
02926944154e3f42298d304c4b65e0b24a1dd05e | 172 | py | Python | Leetcode/Python Solutions/MedianSortedArray.py | Mostofa-Najmus-Sakib/Applied-Algorithm | bc656fd655617407856e0ce45b68585fa81c5035 | [
"MIT"
] | 1 | 2020-01-06T02:21:56.000Z | 2020-01-06T02:21:56.000Z | Leetcode/Python Solutions/MedianSortedArray.py | Mostofa-Najmus-Sakib/Applied-Algorithm | bc656fd655617407856e0ce45b68585fa81c5035 | [
"MIT"
] | null | null | null | Leetcode/Python Solutions/MedianSortedArray.py | Mostofa-Najmus-Sakib/Applied-Algorithm | bc656fd655617407856e0ce45b68585fa81c5035 | [
"MIT"
] | 3 | 2021-02-22T17:41:01.000Z | 2022-01-13T05:03:19.000Z | """
LeetCode Problem: 4. Median of Two Sorted Arrays
Link: https://leetcode.com/problems/median-of-two-sorted-arrays/
Language: Python
Written by: Mostofa Adib Shakib
"""
| 21.5 | 64 | 0.755814 | 25 | 172 | 5.2 | 0.76 | 0.123077 | 0.169231 | 0.261538 | 0.353846 | 0 | 0 | 0 | 0 | 0 | 0 | 0.006579 | 0.116279 | 172 | 7 | 65 | 24.571429 | 0.848684 | 0.94186 | 0 | null | 0 | null | 0 | 0 | null | 0 | 0 | 0 | null | 1 | null | true | 0 | 0 | null | null | null | 1 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 |
029b29ab21ffdc4042391a4e62f8b9a9da9c8843 | 51 | py | Python | hydrogels/trajectory/__init__.py | debeshmandal/brownian | bc5b2e00a04d11319c85e749f9c056b75b450ff7 | [
"MIT"
] | 3 | 2020-05-13T01:07:30.000Z | 2021-02-12T13:37:23.000Z | hydrogels/trajectory/__init__.py | debeshmandal/brownian | bc5b2e00a04d11319c85e749f9c056b75b450ff7 | [
"MIT"
] | 24 | 2020-06-04T13:48:57.000Z | 2021-12-31T18:46:52.000Z | hydrogels/trajectory/__init__.py | debeshmandal/brownian | bc5b2e00a04d11319c85e749f9c056b75b450ff7 | [
"MIT"
] | 1 | 2020-07-23T17:15:23.000Z | 2020-07-23T17:15:23.000Z | from .core import ParticleFrame, ParticleTrajectory | 51 | 51 | 0.882353 | 5 | 51 | 9 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.078431 | 51 | 1 | 51 | 51 | 0.957447 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 5 |
02e6af610d58a7fca6ddd6169fb322a428aa13df | 184 | py | Python | embryo/__init__.py | gigaquads/embryo | 6f809c93e62bbeb743f49ee00676762f7840a822 | [
"MIT"
] | 1 | 2021-02-26T15:31:25.000Z | 2021-02-26T15:31:25.000Z | embryo/__init__.py | gigaquads/embryo | 6f809c93e62bbeb743f49ee00676762f7840a822 | [
"MIT"
] | null | null | null | embryo/__init__.py | gigaquads/embryo | 6f809c93e62bbeb743f49ee00676762f7840a822 | [
"MIT"
] | null | null | null | from .renderer import Renderer
from .incubator import Incubator
from .embryo import Embryo
from .relationship import Relationship
from .utils import say, shout
from . import constants
| 26.285714 | 38 | 0.826087 | 24 | 184 | 6.333333 | 0.416667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.13587 | 184 | 6 | 39 | 30.666667 | 0.955975 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 5 |
02efd2404982188389d3c2e186a848e382489678 | 89 | py | Python | enthought/chaco/tools/pan_tool.py | enthought/etsproxy | 4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347 | [
"BSD-3-Clause"
] | 3 | 2016-12-09T06:05:18.000Z | 2018-03-01T13:00:29.000Z | enthought/chaco/tools/pan_tool.py | enthought/etsproxy | 4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347 | [
"BSD-3-Clause"
] | 1 | 2020-12-02T00:51:32.000Z | 2020-12-02T08:48:55.000Z | enthought/chaco/tools/pan_tool.py | enthought/etsproxy | 4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347 | [
"BSD-3-Clause"
] | null | null | null | # proxy module
from __future__ import absolute_import
from chaco.tools.pan_tool import *
| 22.25 | 38 | 0.831461 | 13 | 89 | 5.230769 | 0.769231 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.123596 | 89 | 3 | 39 | 29.666667 | 0.871795 | 0.134831 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 5 |
b86eb5dd20d57e35a85add2396da99fd61ccc7b1 | 150 | py | Python | identic/exceptions.py | mrshannon/identic | 1dfb9b79dfc37bd85a08ec4fa8d08ed0d496ed7b | [
"MIT"
] | null | null | null | identic/exceptions.py | mrshannon/identic | 1dfb9b79dfc37bd85a08ec4fa8d08ed0d496ed7b | [
"MIT"
] | null | null | null | identic/exceptions.py | mrshannon/identic | 1dfb9b79dfc37bd85a08ec4fa8d08ed0d496ed7b | [
"MIT"
] | null | null | null | class ArgumentError(Exception):
"""Raised to indicate invalid user input.
"""
def __init__(self, message):
self.message = message
| 25 | 45 | 0.66 | 16 | 150 | 5.9375 | 0.8125 | 0.231579 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.233333 | 150 | 5 | 46 | 30 | 0.826087 | 0.253333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.333333 | false | 0 | 0 | 0 | 0.666667 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 5 |
b87a8656ffeae0e495ce6b0676ff7786ce88a730 | 352 | py | Python | models/__init__.py | Pavelrst/targeted_dropout_pytorch | 65ed82614046b970ef118fd3b4bdc3cf497a1a34 | [
"MIT"
] | null | null | null | models/__init__.py | Pavelrst/targeted_dropout_pytorch | 65ed82614046b970ef118fd3b4bdc3cf497a1a34 | [
"MIT"
] | null | null | null | models/__init__.py | Pavelrst/targeted_dropout_pytorch | 65ed82614046b970ef118fd3b4bdc3cf497a1a34 | [
"MIT"
] | null | null | null | #from .alexnet import *
from .resnet import *
# from .resnet_zi import *
# from .resnext import *
# from .inception_resnet_v2 import *
# from .googlenet import *
# from .inception_v2 import *
# from .mobilenet import *
# from .mobilenet_v2 import *
# from .densenet import *
# from .mnist import *
# from .evolved import *
# from .efficientnet import * | 27.076923 | 36 | 0.715909 | 44 | 352 | 5.613636 | 0.318182 | 0.48583 | 0.145749 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.010345 | 0.176136 | 352 | 13 | 37 | 27.076923 | 0.841379 | 0.872159 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 5 |
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